Articles Archives — Carrington Malin

September 4, 2023

So, you think that your AI generated content is fooling everyone? Think again.

If you are happily creating articles, posts and comments using Generative AI, feeling safe in the knowledge that no one will ever guess that your content is ‘AI’, dream on! Your audience is already developing a sixth sense to instantly tell human and GenAI content apart.

I’m telling you this to be kind. The more people that dismiss what you share as ‘fake’ AI content, the more chance there is that you are harming, not enhancing your personal brand.

So, as a well-known advocate of AI solutions and an intensive user of AI, why am I, of all people, telling you to be wary of posting AI generated content? To explain further, we have to consider the dynamics of today’s social media, the value of ‘Likes’ and how digital content impacts your ideal audience.

A common misconception is that more Likes equal greater validation of the content that you share. In reality, people Like your content for different reasons, while the volume of Likes can often have more to do with how the platform’s algorithm treats your piece of content, rather than its own particular merits.

So, who Likes your posts and articles?

- The people that know you best, or consider themselves to be your fellow travelers on the same journey, may give your content a Like purely to be supportive.
- People that follow the topics that you post about, may Like your content because it’s within their main area of focus, but that doesn’t mean they have to read it!
- Similarly, people that use LinkedIn or other social media to keep up-to-date with the news, may Like your content if it delivers an interesting headline.
- If you tag people or companies, then you may receive Likes in return, just on the basis that all publicity is good publicity.
- If your followers include a lot of coworkers, subordinates or students that you teach, you may receive a lot of Likes, because either (hopefully!) they like the job that you’re doing, or are seeking recognition, themselves.
- Then there are those that Like your content because they have read it, enjoyed reading it, or have derived value from doing so.

Make no mistake, that last category (the readers) are the minority!

If you’re a LinkedIn user then you will know that LinkedIn gives you the option to react to a post using different Likes (Celebrate, Support, Love, Insightful and Funny). I can’t count the number of times that I’ve seen the ‘Insightful’ Like used on posts with an erroneous, or broken link, to the content that they apparently found ‘Insightful’! Social media is a world where Love doesn’t mean love, Insightful doesn’t necessarily mean insightful, and Like doesn’t even have to mean like! In itself, the value of a Like is nothing.

Another factor to consider in assessing how well your content is doing, is that fact that your biggest fans may not react on social media at all! I frequently get comments about my articles, newsletters and reports via direct messages, Whatsapp, or offline during ‘real life’ conversations from people that never, or almost never, Like, comment or share on LinkedIn. Typically, these are my most valuable connections, such as senior decision makers, subject matter experts and public figures. It’s sometimes frustrating that they don’t Like or comment, but it’s far more important and valuable to me that they take the time to read my content.

AI generated content

So, returning to our topic of AI generated content, what is your measure for how successful your content is?

This obviously depends a lot on your own goals for creating that content to begin with. My goal, for example, is typically to provide value and insight to my targeted senior decision makers and subject matter experts. Their time permitting, these are my most valuable readers, and so I’m careful to ensure that their time will be well-spent reading my posts and articles.

Let’s consider your own goals, audiences and approach to content for a moment. Who are you trying to impress? What will encourage your top target audience to read your content and return to do so again and again? What is the key message that you want to reinforce? And what forms of content is your key audience most likely to consume and respond to?

Now, the big question is where does AI content fit in?

What’s the impact of one of your most valuable connections finding that your latest post, or article, is actually quite generic and clearly not written by you. Will that realisation affect how your connection thinks about you? And is that connection now more likely, or less likely to spend time reading your content in future? It probably depends on the format and purpose of that piece of content, and how appropriate the information used in it is for the reader in question.

However, let me be clear, before we proceed further. Before it sounds like I am dismissing all AI generated content. I am not. I use AI generated content in my work all the time, although rarely in the form it is first generated. I routinely edit and re-write most pieces of AI content.

What value does GenAI written content have?

Today’s AI generated text content (and I say today’s, because the quality and value of AI content is constantly changing) has different value depending on the format, purpose and type of information offered.

Format

Due to the way that generative AI models work, they are the most convincing and most accurate the shorter the piece of text is. They can generate full blog posts and articles to an average quality, but the longer they are, the more apparent it is that the article lacks the nuance that a human writer would add. Meanwhile, where context is needed, most generative AI chat services draw primarily on content that may be months, or years old. Finally, since AI creates articles based on other articles that have been written by many other people (including both good writers, and poor ones), originality is not GenAI’s strong suit.

Purpose

The usefulness of GenAI written text to you and your readers is going to heavily depend on the purpose of the content or communication. If your purpose is to simply inform, then GenAI provides a fast and efficient way of organising information and communicating key points. At the other end of the scale, if your purpose is to share new thinking, or influence the opinion of others, then there are definite pros and cons. If your purpose of using GenAI is to win recognition for being a great writer, then please, just don’t do it!

Information

What type of information you wish to include in your content is also key to the value and usefulness that GenAI can provide. For example, if you wish to present an argument in favour of something, is this a logical argument based purely on the facts, or an opinion-led argument with few facts to rely on? Does the content you wish to share come from the public domain, or from the beliefs and values that you hold inside? AI is clearly going to be much better equipped to create content without opinion, beliefs or values. Where such thinking is important, GenAI needs careful input, guidance and revision, if it is to create content that is close to your own opinion, beliefs and values.

If you’ve following my thinking so far, then it will probably be obvious to you where the cracks begin to appear when you start publishing AI generated content, or try to pass it off as your own.

What are the risks?

Now ask yourself, where are the biggest risks for your personal brand in using GenAI to create your content and communications? What’s the worst that can happen if your contacts, connections, colleagues, peers and readers identify your content as AI generated? Again, I believe it depends entirely on the context.

As an avid consumer of content via Linkedin, my problem with AI generated content is two-fold: emotional and logical.

Why do I have an emotional problem with AI content? When I open and read a short post, a long post, or an article from a connection, I feel that I have some measure of vested interest. So, when I read their insight or opinion, only to find that it’s GenAI, I often feel a negative emotional response. My immediate reaction is that ‘this is fake’. It’s emotional because I often take the time to read such content to learn about, or to understand the other person’s opinion. So, it’s basically disappointment.

Secondly, there are a number of logical problems that I now have when discovering GenAI content out of context, or being passed of as original thinking. If I consider the content to be valuable, then I treat it the same as human generated content. Why wouldn’t I? However, life is rarely that simple! Here are some of the new social media quandaries that I come up against:

When someone that I know and respect, posts GenAI content believing that it will pass as their own original written content, and it clearly fails to do so, should I tell them? Should I Like their content, even though I don’t? Do I have time to explain to them carefully and respectfully what the problem is?
When someone posts an AI generated comment on one of my social media posts, blogs or articles, that simply repeats a fact from my content without sharing an opinion, posing a question or adding value, should I Like it? How should I reply? Or should I delete it to save embarrassment all round?
When someone messages me and asks me to endorse a piece of content that looks like it was generated by ChatGPT in about 60 seconds, what do I say to them?

For what it’s worth, my own personal guidelines for using AI are to be as honest and transparent about my GenAI usage as I can. So, anything I use that has a significant element of GenAI created content in it, I now share with a credit or disclaimer.

It is true that GenAI can prove to be valuable to people that are not great writers, but it’s also true that it is only by gaining experience as a writer or editor, that you will have the tools to edit AI text content to be more human, and represent your personal brand better.

The famous horror-fiction writer Stephen King, says this in his book about writing:

“If you don’t have time to read, you don’t have the time (or the tools) to write.”

This is true of any form of writing.

When you’re learning to write better, writing ‘does what it says on the tin’. Reading and writing more comments will make you better at writing comments; reading and writing more social media posts will make you better at writing posts; while reading and writing more long-form articles will make you better at that. And each of those things will make you better equipped to more effectively use, edit and filter AI generated content to build your personal brand, rather than dilute it.

If you believe that you can skip that learning process and automate your content generation, without becoming its thoughtful moderator, then your GenAI content is probably only fooling one person: yourself.

If you enjoyed reading this article, you may also like:

- Will AI replace human creativity?
- Nine deepfake video predictions

April 21, 2023

The recent passing of a new autonomous vehicle (AV) law in Dubai highlights the emirate’s tenacious commitment to innovation. But there is much to do before we see driverless taxi services on the roads.

Dubai’s ambition to place itself at the forefront of autonomous transport is exciting because it is unprecedented. However, this very same lack of precedent means it cannot lean on the experiences of others to develop new regulations, technologies or infrastructure.

Dubai’s plans switched into high gear in 2021 when the Roads and Transport Authority (RTA) signed an agreement with General Motors’ autonomous vehicle company Cruise to operate its self-driving taxis and ride-hailing services. The agreement will make Dubai the first city outside the US to offer Cruise’s driverless taxi services, with a goal of putting 4,000 AVs on the road by 2030.

The Dubai Smart Mobility Strategy aims to convert 25 percent of total transportation journeys into trips via self-driving transportation by 2030, including driverless rail transport.

The new Law No.9 of 2023, passed last week by Sheikh Mohammed Bin Rashid Al Maktoum, vice president, prime minister and ruler of Dubai, is not the first legislation to support the emirate’s future driverless vehicle services sector. The law follows resolutions made by the emirate’s executive council, local legislation development led by the RTA and UAE laws issued at a federal level to allow temporary licensing of AV trials.

But on the legal front Dubai must innovate when it comes to regulation. There are simply no comprehensive laws or guidelines in place for the public use of autonomous vehicles anywhere else.

For example, the UK government plans to allow autonomous vehicles on the road by 2025. However, a closer look shows that British regulation so far only covers testing, insurance and liability. Further afield, the EU has implemented a framework for approving level 3 and 4 AVs but offers little detail on their operation on the road. Meanwhile, the world’s most extensive driverless vehicle trials, which are taking place in China and the US, have only been authorised via case-by-case permissions issued by authorities. This is also true of the UAE’s trials.

Given the emirate’s ambitious roadmap, Dubai’s partnership with Cruise is a smart move. The US company was one of two operators to receive a permit to offer paid driverless taxi services in California in 2021. Early last year it began offering services within designated areas of San Francisco, but only between the hours of 22:00 and 06:00. The company now operates about 300 robotaxis across San Francisco, Austin and Phoenix.

However, no new technology is without its teething problems. US media have reported a variety of complaints related to the San Francisco trial, including immobile cars blocking traffic, multiple vehicles stopping in the middle of the road and incorrect signalling. In March a Cruise robotaxi bumped into the rear of a San Francisco bus, prompting an urgent software recall across its entire fleet of AVs.

While Dubai’s modern road infrastructure and digital traffic management are both big pluses for future AV services, the city still has its own unique set of physical and digital characteristics, operational needs and system integration requirements to consider. City-specific behavioural factors also apply relating to motorists, pedestrians and passengers. So, notwithstanding Cruise’s past two years of service trials in California and the five years of testing before that, only so much can be taken for granted as the US AV firm and the RTA work together on Dubai’s driverless services.

At this point in time, the RTA is perhaps the only public transport authority in the world that is developing an ecosystem to put 4,000 driverless taxis on the road in one city.

This is why innovation, not best practice, must drive Dubai’s autonomous vehicle plans.

This article first appeared in Arabian Gulf Business Insight.

March 18, 2023

In a week full of big technology news, globally and regionally, the Abu Dhabi government’s leading applied research centre has announced that it has developed one of the highest performing large language models (or LLMs) in the world. It’s a massive win for the research institute and proof positive for Abu Dhabi’s fast growing R&D ecosystem.

Technology firms have gone to great lengths since the public beta of ChatGPT was introduced in November to make it clear that OpenAI‘s GPT series of models are not the only highly advanced LLMs in development.

Google in particular has moved fast to try and demonstrate that its supremacy in search is not under threat from OpenAI’s models. Tuesday, the search giant also announced a host of AI features that will be brought to its Gmail platform, apparently in answer to Microsoft‘s plans to leverage both its own AI models and OpenAI’s into products across its portfolio. However, announced the same day, OpenAI revealed that it has begun introducing its most advanced and human-like AI model to-date: GPT-4.

Whatever way you look at it, OpenAI’s GPT-3 was an incredible feat of R&D. It has many limitations, as users of its ChatGPT public beta can attest, but it also showcases powerful capabilities and hints at the future potential of advanced AI models. The triumph for OpenAI though, and perhaps the whole AI sector in general, was the enormous publicity and public recognition of AI’s potential. Now everyone thinks they understand what AI can do, even though they are sure to be further educated by GPT-4 and the new wave of applications built on new advanced AI models heading their way.

So, what does this emerging wave of LLMs mean for other research labs and R&D institutions developing their own AI models around the world? To begin with, the bar to entry into LLMs is set high, in terms of both the technology and the budget required.

Advanced AI models today are trained, not born. GPT-3 was trained on hundreds of billions of words, numbers and computer code. According to a blog from San Francisco-based Lambda Labs, training GPT-3 might take 355 ‘GPU-years’ at a cost of $4.6 million for a single training run. Meanwhile, running ChatGPT reportedly costs OpenAI more than $100,000 per day. R&D labs competing in the world of LLMs clearly need deep pockets.

Then, it perhaps goes without saying, but institutions planning to develop breakthrough LLMs, must also have the right talent. And of course, global competition for the type of top researchers needed to develop new AI models is fierce, to say the least!

Just as critical to having the right talent and the right budget, is having the right vision. R&D institutions are often bogged down in bureacracy, while most tech firms are, necessarily, focused on short term rewards. In this game, to win, the players must have the vision to invest in developing AI models that are ‘ahead of the curve’ and the commitment to stick with it.

Therefore, for those following Abu Dhabi’s R&D story, it is not an entirely unexpected discovery that the Technology Innovation Institute (TII) has been investing heavily in the development of LLMs.

Formed in 2020, as the Abu Dhabi Government’s Advanced Technology Research Council‘s applied research arm, TII was founded to deliver discovery science and breakthrough technologies that have a global impact. An AI research centre was created in 2021, now called the AI and Digital Science Research Centre (AIDRC), to both support AI plans across the institute’s domain-focused labs and develop its own research. Overall, TII now employs more than 600, based in its Masdar City campus.

This week TII announced the launch of Falcon LLM, a foundational large language model with 40 billion parameters, developed by the AIDRC’s AI Cross-Centre Unit. The unit’s team previously built ‘NOOR’, the world’s largest Arabic natural language processing (NLP) model, announced less than one year ago.

However, Falcon is no copy of GPT, nor other LLM’s recently announced by global research labs and has innovations of its own. Falcon uses only 75 percent of GPT-3’s training compute (i.e. the amount of computer resources needed), 80 percent of the compute required by Google’s PaLM-62B and 40 percent of that required by DeepMind‘s Chinchilla AI model.

According to TII, Falcon’s superior performance is due to its state-of-the-art data pipeline. The AI model was kept relatively modest in size with unprecedented data quality.

Although no official third party ranking has been published yet, it is thought that Falcon will rank in the world’s top 5 large language models in a classical benchmark evaluation and may even rank number one for some specific benchmarks (not counting the newly arrived GPT-4).

Large language models have proved to be good at generating text, creating computer code and solving complex problems. The models can be used to power a wide range of applications, such as chatbots, virtual assistants, language translation and content generation. As demonstrated by OpenAI’s ChatGPT public beta testing, they can also be trained to process natural language commands from humans.

Now that the UAE now has one of the best and highest performing large language models in the world, what is the potential impact of TII’s Falcon LLM?

First, like all LLM’s, Falcon could be used for a variety of applications. Although plans for the commercialisation of the new model have not been announced, Falcon could provide a platform for both TII and potential technology partners to develop new use cases across many industry sectors and many functional areas. For development teams in the region, it’s a plus to have the core technology developer close at hand.

Second, Falcon also has technological advantages that businesses and government orgnisations can benefit from, which aren’t available via existing global platforms. The model’s economic use of compute, means that it lends itself for use as an on-premise solution, far more than other models that use more system capacity. In addition, if you’re a government organisation, implementing that on-premise solution means that no national data is going to be transferred outside of the country for processing.

Finally, Falcon is intellectual property developed in the UAE and a huge milestone for a less than three year-old research institute. The emirate is funding scientifically and commercially significant research and attracting some of the brightest minds from around the world to make it happen.

Of equal importance, if Falcon is anything to go by, at both a government policy level and an institutional level, Abu Dhabi has the vision and the drive to develop breakthrough research.

I don’t think that yesterday’s announcement will be the last we will hear about Falcon LLM! Stay tuned!

This article first appeared in Middle East AI News.

January 31, 2023

Will ChatGPT take our jobs? The truth is that it gets an awful lot right and it gets an awful lot wrong!

Communications professionals, writers, journalists and researchers all seem to be asking if Chat GPT and other new AI platforms will take their job. I’ve been using AI writing apps for a couple of years now to help overcome ‘writers block’, sketch out ideas and, well, just for fun! So, what do I think? Will AI take my job? Here’s a little analysis that I did in January 2023.

A recent survey survey of UAE residents by communications consultancy duke+mir and research firm YouGov, found that 55% were concerned about losing their job to AI (and this went up to 66% in the under 25 age group). It’s a notion that tech firms and some governments have done their best to deride over the last five years, but the evidence is very clear: artificial intelligence allows companies to do more with less – and that means less people too.

It is true that new technologies, including AI, are also creating new categories of jobs, but that’s not much of a consolation if you don’t have, or can’t acquire, the new skills required to take one of those jobs. This said, there are many things that AI simply cannot do, because those jobs require human thinking, dexterity or other nuances that are particular to human beings.

However, for some, the arguments are a little too academic. Most people don’t know much about how AI works, how it’s used, or what the benefits and risks might be. Many have relied on tech firms, scientists, journalists and government spokepeople for insights on how AI technologies will affect them. Now, suddenly, this may have changed a little.

With the public beta release of the latest versions of OpenAI’s conversational AI chatbot ChatGPT. Now, anyone with an Internet connection can play with AI, discover its potential, explore its boundaries and ask it about the future.

So, just for fun, I asked ChatGPT to write this week’s weekly article. Will it take my job? You be the judge!

I gave ChatGPT the following instruction:

This is the first answer that the chatbot returned. It is unedited. I’ve fact checked this and put my comments under the article.

The Gulf Cooperation Council (GCC) states, which include Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates (UAE), have been actively investing in and adopting artificial intelligence (AI) and other emerging technologies in recent years. These efforts are driven by a desire to diversify their economies, improve efficiency and productivity, and enhance the overall competitiveness of their countries.(1)

One key trend in the adoption of AI in the GCC states is the increasing focus on the development of smart cities. For example, the UAE has launched several initiatives aimed at creating smart cities, such as the Dubai Smart City project and the Abu Dhabi Smart City project. These initiatives aim to use technology to improve the quality of life for citizens, enhance urban planning, and create new business opportunities.(2)

Another trend is the use of AI in the healthcare sector. For example, in Qatar, the government has launched the Qatar Genome Project, which aims to use genomics and AI to improve the diagnosis and treatment of diseases. Additionally, Saudi Arabia has launched the Misk Medical AI Program, which aims to use AI to improve the efficiency and effectiveness of healthcare in the country.(3)

Another key trend is the use of AI and other emerging technologies in the financial sector. For example, the Central Bank of Bahrain has launched the Bahrain FinTech Bay, which aims to promote the development of fintech and other innovative technologies in the country. Additionally, the Dubai International Financial Centre (DIFC) has launched the Dubai Blockchain Strategy, which aims to use blockchain technology to improve the efficiency and security of financial transactions in the UAE.(4)

In addition to these specific examples, GCC countries have also been investing in other areas such as energy, transportation, and retail. For instance, in Oman, the government has been working with companies like Siemens to implement AI-enabled systems in the oil and gas sector. In Saudi Arabia, the government has been working to develop autonomous vehicles and drones for transportation and delivery purposes.(5)

Overall, the adoption of AI and other emerging technologies in the GCC states is being driven by the desire to improve efficiency and productivity, diversify their economies, and enhance the overall competitiveness of their countries. These efforts are also supported by significant investments in research and development, as well as the development of supportive ecosystems, such as innovation hubs and accelerators. As a result, we can expect to see continued growth in the adoption of AI and other emerging technologies in the GCC states in the coming years.(6)

It is worth noting that the GCC countries have a lot of potential to be the leader in AI, but there is also a lot of work that needs to be done to overcome challenges such as lack of data privacy laws and shortage of local talent. It is important for the GCC governments to work on these challenges and to also focus on building an ecosystem that supports innovation, investment and collaboration in AI.(7)

Fact check & analysis

Paragraph one is correct and provides a useful introduction.
Paragraph two provides a useful example and is essentially correct, but contains a little misinformation. Dubai Smart City project was announced in 2014, but since then has developed into several iniatives with different names such as Smart Dubai, which is now Digital Dubai. I don’t remember there ever being an “Abu Dhabi Smart City” project by name.
Paragraph three is also useful, although the language is repetitive. However, again, ChatGPT inserts its own names. The Qatar Genome Project is the name of an actual project. As far as I know, “Misk Medical AI Program” is not, although Saudi Arabia’s Misk Foundation does have medical programs.
Paragraph four contains misinformation. Again the content topic here is useful for the context of the article, but Dubai Blockchain Strategy was not launched by DIFC, it was announced by Smart Dubai and Dubai Future Foundation in 2017.
These paragraphs are now following a formula, but even so paragraph five is a useful contribution to the report. Although, I would say that the claim that Saudi Arabia is “working to develop autonomous vehicles” is overstated and possibly misleading.
Paragraph six is correct, although I would prefer if it had also mentioned some examples to make it more specific.
Paragraph seven is correct and useful.

So, should I give up, or stick around for a while longer? 🙂

Israel-UAE tech collaboration on the fast-track

The historic agreement to normalise bilateral relations between Israel and the UAE last August became the diplomatic event of the year. The agreement considered many economic, trade and security issues: cooperation in energy, water and developing a coronavirus vaccine were pinpointed at the time. However, much of the engagement between the two countries that followed has been tech-centric. In fact, the UAE’s minister of state for AI, Omar bin Sultan Al Olama, last year called the new technology collaboration between Israel and the UAE an ‘undeniable need’.

Shortly after the accord was signed, Abu Dhabi-based AI firm Group 42 announced the opening of a wholly-owned subsidiary in Israel, following memorandums of understanding with Israel Aerospace Industries (IAI) and Rafael Advanced Defense Systems Ltd., and this year formed a joint venture with the latter. The group’s Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) signed an agreement Israel’s Weizmann Institute of Science to create joint AI research and development programmes.

A number of other significant partnerships were signed between Israeli and UAE business groups in 2020. Businessman Abdullah Saeed Al Naboodah partnered with Israeli venture capital giant OurCrowd to form Phoenix Capital, a $100 million fund to back technology investments between the two countries. Meanwhile, the UAE’s in-person tech trade events have seen planeloads of Israeli businessmen attend over the past year.

However, it would be a mistake to assume that the UAE is inclined to ‘put all its eggs in one basket’. The Emirates has a long-standing policy of building bilateral relations with almost all countries across the world, but AI diplomacy has given some of these new purpose. Reem bint Ibrahim Al Hashemy, the UAE’s Minister of State for International Cooperation, recently described Finland as one of the country’s most important partners in innovation and artificial intelligence. The UAE also seems to have stepped up engagement with Estonia on the back of the Baltic state’s success in leveraging big data and smart systems.

China-UAE relations bring R&D to the fore

One of the UAE’s most significant technology collaborations is its deepening relationship with China. Although diplomatic relations have been established for many years, President Xi Jinping’s 2018 visit to the UAE seems to have taken relations with China to a new level. This has included cooperation on combatting the coronavirus pandemic (for example, the UAE fast-tracked human trials of Sinopharm’s Covid-19 vaccine), energy, trade, investment, infrastructure, and high technologies including 5G, big data, and AI.

Increasingly, the Chinese and Emirati institutions are collaborating on technology, research and innovation. An M.o.U. on higher education was signed with China’s ministry of education during an official visit to Beijing by the Crown Prince of Abu Dhabi Sheikh Mohammed bin Zayed Al Nahyan in 2015. That M.o.U. has paved the way for partnerships between universities and research institutions. Abu Dhabi’s Masdar Institute of Science and Technology (now part of Khalifa University) signed an agreement with Tsinghua University, sometimes referred to as China’s MIT, during the state visit.

Sheikh Mohammed bin Zayed returned to Beijing in 2019, where he met Wang Zhigang, China’s Minister of Science and Technology at Tsinghua University and was awarded an honorary professorship by the university for his role in supporting science, technology and innovation.

Khalifa University of Science and Technology signed a joint research agreement with Tsinghua University, during the same visit. Khalifa University, which opened its Robotics and Intelligent Systems Institute the same year, also has agreements with Georgia Tech, Korea Advanced Institute of Science and Technology (KAIST) and Massachusetts Institute of Technology (MIT), among others.

The UAE mission to Beijing also returned with a deal signed between Abu Dhabi Investment Office (Adio) and Chinese AI giant SenseTime to locate its Europe, Middle East and Africa (EMEA) AI Centre of Excellence in in the emirate.

New collaboration opportunities are being reviewed on a regular basis. China’s top scientific institution, the Chinese Academy of Sciences, signed a joint agreement on scientific research earlier this year with the United Arab Emirates University. Meanwhile, a few weeks ago, Dr. Sultan bin Ahmed Al Jaber, UAE Minister of Industry and Advanced Technology, and managing director & group CEO of ADNOC Group, spoke about the two countries growing technological cooperation at the 2021 Pujiang Innovation Forum in Shanghai.

Expo 2020 Dubai to grandstand tech cooperation

The biggest opportunity for the UAE to strengthen and build on state-backed technology cooperation this year is Expo 2020 Dubai (1 October 2021 to 31 March 2022), at which China has one of the largest national pavilions. Covering 4,600 square metres of space, the ‘Light of China’ pavilion will highlight the country’s achievements in information, science, technology and transportation. Exhibits include FAST (the five hundred metre aperture spherical telescope), the Beidou satellite navigation system, plus the latest 5G and artificial intelligence technologies.

Expo 2020, which is taking place under the theme ‘Connecting Minds, Creating the Future’, is sure to be the most heavily tech-focused World Expo ever to take place, where visitors will be able to experience how AI, A.R., V.R. and other future technologies can be used for education, green energy, urban mobility and many other fields.

Many of the GCC’s biggest trading partners are naturally using Expo 2022 to showcase their countries’ science and technology capabilities. For example, the USA Pavilion will showcase innovations and technology from urban mobility to quantum computing. While, according to Simon Penney, Her Majesty’s Trade Commissioner for the Middle East, artificial intelligence will be a key theme for the United Kingdom Pavilion at Expo 2020 Dubai, reflecting already strong collaboration between the UK and UAE in AI and advanced technologies.

Half of Expo 2020’s twelve premium partners are technology-related, including Chinese AI and Internet of Things company, Terminus Technologies which, as the official robotics partner, will deploy 150 service robots across the expo. Other premium partners include Accenture, Cisco, SAP, Siemens and UAE telecom provider Etisalat.

With 190 countries expected to participate in the six-month long exhibition, we can expect Expo 2020 Dubai to facilitate plenty of opportunities for AI diplomacy, AI collaborations and new AI deals.

This article was originally published as ‘A letter from the Gulf’ in The AI Journal.

Also see the previous ‘Letter from the Gulf’

July 10, 2021

The UAE Council for Digital Wellbeing and the UAE National Programme for Artificial Intelligence this week published a Deepfake Guide to help raise social awareness about the technology. But what are deepfakes and are they all bad? Here are my top 9 deepfake video predictions!

Deepfake videos first hit the headlines six years ago when Stanford University created a model that could change the facial expressions of famous people in video. In 2017, University of Washington researchers released a fake video of former President Barack Obama making a speech using an artificial intelligence neural network model. It wasn’t long before consumers could create their own deepfake videos using a variety of tools, including deepfakesweb.com’s free online deepfake video application. Deepfake videos have now become commonplace circulating on social media of presidents, actors, pop stars and many other famous people.

So, what’s all the fuss about? Simply, that fakes of any nature can be used to deceive people or organisations with malicious intent or for ill-gotten gains. This could include cyber-bullying, fraud, defamation, revenge-porn or simply misuse of video for profit. It perhaps comes as no surprise that a 2019 study found that 96 per cent of all deepfake videos online were pornographic.

However, using technology to produce fakes is not a new thing. The swift rise of the photocopier in the 1970s and 80s allowed office workers all over the world to alter and reproduce copies of documents, letters and certificates. The ease with which printed information could be copied and altered, prompted changes in laws, bank notes, business processes and the use of anti-counterfeit measures such as holograms and watermarks.

Like photocopying, deepfake video technology is getting better and better at what it does as time goes on, but at a much faster speed of development. This means that the cutting edge of deepfake technology is likely to remain ahead of AI systems developed to detect fake video for a long time to come.

Any technology can be used for good or evil. However, in a few short years deepfake technology has got itself a terrible reputation. So, what is it good for? My take is that deepfake video technology – or synthetic video for the commercially-minded – is just one aspect of artificial intelligence that is going to change the way that we use video, but it will be an important one. Here are my top nine deepfake video predictions.

1. Deepfake tech is going to get easier and easier to use

It’s now quite easy to create a deepfake video using the free and paid-for consumer apps that are already in the public domain. However, as the world learns to deal with deepfake video, the technology will eventually be embedded into more and more applications, such as your mobile device’s camera app.

2. Deepfake technology’s reputation is going to get worse

There’s an awful lot of potential left for deepfake scandal! The mere fact that developers are creating software that can detect deepfake video, means that the small percentage of deepfake video that can not be identified as fake may be seen as having a virtual rubber stamp of approval! And believing that a influential deepfake video is authentic is where the problem starts.

3. Policymakers are going to struggle to regulate usage

Artificial intelligence is testing policymakers’ ability to develop and implement regulation like no other force before it. The issues are the most obvious when deepfakes are used for criminal activitiy (the courts are already having to deal with deepfake video). In the near future, regulators are also going to have to legislate on the rise of ‘legitimate’ use, seamlessly altering video for education, business, government, politics and other spheres.

4. One:one messaging

One of the most exciting possibilities is how deepfake modelling might be used to create personalised one:one messaging. Today, it’s possible for you to create a video of you voicing a cute animation via an iPhone. Creating and sending a deepfake video of your real self will soon be as easy as sending a Whatsapp message. If that sounds too frivolous, imagine that you’re stuck in a meeting and want to send a message to your five year-old.

5. Personalisation at scale

As the technology becomes easier to use and manipulate, and as the processing power becomes available to automate that process further, we’re going to be able to create extremely lifelike deepfake videos – or synthetic videos, if you rather – at scale. London-based Synthesia is already testing personalised AI video messages. That will open the doors for marketers to personalise a new generation of video messages at scale and deliver a whole new experience to consumers. Imagine if every new Tesla owner received a personal video message from Elon Musk (well, ok, imagine something else then!).

6. Deepfakes on the campaign trail

As marketers get their hands on new tools to create personalised video messages for millions, then there may be no stopping political parties from doing so too. Has your candidate been banned from social media? No problem! Send out a personalise appeal for support directly to your millions of supporters! In fact, this is one use that I could see being banned outright before it even gets started.

7. Video chatbots

There are already a number of developers creating lifelike synthetic video avatars for use as customer service chatbots, including Soul Machines and Synthesia. As AI generated avatars become more lifelike, the lines between different types of video avatars and AI altered deepfake videos are going to blur. The decisions on what platform, what AI technology, what video experience and what type of voice to add, are going to be based on creative preferences or brand goals, not technology.

8. Deepfake entertainment

Although some deepfake videos can be entertaining, their novelty value already seems to be fading. In the future, whether a deepfake is entertaining or not will depend on the idea and creativity behind it. We seem to be headed for an some kind of extended reality music world, where music, musicians, voices, characters and context are all interchangeable, manipulated by increasingly sophisticated technology. The Korean music industry is already investing heavily in virtual pop stars and mixed reality concerts. Deepfake representations will not be far behind. After all, they’re already reading the news! The Chinese national news service (Xinhua) has been using an AI news anchor for the past two years.

9. Your personal AI avatar

In 2019, Biz Stone co-founder of Twitter and Lars Buttler, CEO of San Francisco-based The AI Foundation, announced that they were working on a new technology that would allow anyone to create an AI avatar of themselves. The AI avatar would look like them, talk like them and act like them, autonomously. In comparison, creating personal avatars using deepfake technology (i.e. manipulating already existing video) could be a lot easier to do. It remains to be seen how long it will take before we have the capability to have our own autonomous AI avatars, but creating our own personal AI video chatbot using deepfake tech is just around the corner!

I hope that you liked my top deepfake video predictions! But, what do you think? Will AI altered deepfakes and AI generated video avatars soon compete for our attention? Or will one negate the need for the other? And how long do you think it will be before consumers are over-targeted by personalised AI generated video? Be the first to comment below and win a tube of Pringles!

This article was first posted on Linkedin. If you’re interested in this sort of thing, I also wrote about deepfakes for The National a couple of years ago. You can find that article here.

May 3, 2021

GCC technology investments are growing, as private investors, investment banks and sovereign wealth funds switch focus from traditional investment assets such as bonds, equity and real estate.

In October 2017, Saudi Arabia’s Saudi Crown Prince Mohammed bin Salman announced plans to build a $500 billion smart city of the future called NEOM and made headlines around the world. It’s a grand scheme to create an AI-driven city that crosses the borders of Egypt, Jordan and Saudi Arabia – and, mainly thanks to NEOM’s massive scale and expense, some have found the plan, simply, hard to believe.

However, that same year, with far less media coverage, Saudi also launched its nationwide smart cities programme, selecting 17 cities for digital transformation projects, with the support of $500 billion earmarked for modernising urban developments across the Kingdom. Although the largest of its kind in the Gulf, other government-planned smart city initiatives have already been set in motion in Bahrain, Kuwait, Qatar, Oman and the United Arab Emirates.

The Gulf states have always been big buyers of technology and one could describe today’s government digital transformation policies as fearless! The UAE, for example, has a history of enacting bold initiatives that, rightly or wrongly, would require many years of debate and review elsewhere. The race to embrace facial recognition technologies is one such area of digital policy and a key milestone in this month’s news is that residents of the Emirates can now use biometric facial recognition to access thousands of public services.

Naturally, the GCC’s affinity for new technology has made the region a fast-growing market for 5G, AI, blockchain, Edge and IoT technologies and the past month has had no shortage of commercial announcements from tech companies competing for a slice of the pie.

The buzz around the Gulf’s smart cities market

It’s no secret that partnerships are key to developing sustainable smart cities and these are being put in place at all levels across the Gulf.

This week, digital energy management leader Schneider Electric and NXN, a leading regional provider of smart digital services for the smart cities sector, announced a partnership to collaborate on smart energy solutions. Meanwhile, Chinese AIoT solutions developer Terminus Group and UAE solutions provider Injazat signed a partnership targeting urban digitalisation in the region.

Urban mobility is also seen with increased frequency in the Gulf’s news media. A Huawei exec was quoted recently as being bullish about the market for 5G-enabled self-driving cars in the Middle East and he’s not alone. In fact, overall, the interest in autonomous vehicles seems to have entered a new phase and signing up potential ecosystem partners has become a priority.

Dubai’s Roads and Transport Authority (RTA), which has a strategy to transform 25 percent of total trips within the city to driverless transport by the year 2030, just signed an MoU with the World Economic Forum related to its Safe Drive Initiative Framework (SafeDI Framework). This was also the month that Dubai’s Crown Prince H.H. Sheikh Hamdan Bin Mohammed Bin Rashid Al Maktoum confirmed that GM-backed autonomous vehicle company Cruise will supply the emirates’s robotaxi shuttles. Cruise could operate its Origin ride-sharing shuttles in Dubai as soon as 2023.

Facial recognition? That’ll do nicely, sir!

Following a cabinet decision in February to approve the use of facial recognition for public and private services, the UAE government has announced the integration of facial recognition into the national public services app, UAE Pass. Users will be able to use biometric facial recognition to gain access to 6,000 services provided by over 130 government departments and public authorities. Private sector payment services using biometric facial recognition ID are expected to follow in the near future.

The UAE is not shy of using facial recognition technology for security purposes either. Already in use by police across Abu Dhabi, Dubai and Sharjah emirates in public CCTV systems, police vehicles and radar cameras, the number of pilots using facial recognition technologies are growing fast. This week, Sharjah Police disclosed that it has multiple trials in action using drones equipped with facial recognition technology to help police search for suspects or wanted criminals, police public areas and monitor suspicious behaviour.

Robots move to front-of-house in Gulf retail

Robotics has been in use by major retailers and distributors in the GCC for some years for warehousing and stock control. Supermarket giant Carrefour has Tally robots (manufactured by Californian automation startup Simbe Robotics, Inc.) in use across eleven of its retail malls in the UAE, for auditing and stock control. Now the group has started to use robots for customer service, opening its first fully-automated store in Dubai Financial District last year, with app ordering and a robot delivery service.

The idea seems to be catching on and a number of retail automation projects are in various stages of development across the region. This month, national telecom operator Omantel announced plans to partner with Oman Oil Marketing Company to enable the first AI and IoT-powered smart store in the Sultanate of Oman.

The growing curiosity about robots has also given rise to a number of Robo-diners in Saudi Arabia and the UAE. ‘Restaurant Robot’, a new Asian restaurant in the southwestern Saudi port city of Jazan, recently made the local press. Conceived and run by a young female engineer, Reham Omar, the restaurant’s six waitress robots (manufactured by Chinese robotics firm CSJBOT) have proved to be quite a hit with diners.

Increased focus on GCC technology investments

Despite the region’s high spending on acquiring technology, the vast proportion of Gulf investment managed by large private investors, investment banks and sovereign wealth funds has historically gone into traditional investment assets such as bonds, equity and real estate. When tech has been a target, it has typically been the blue-chip stocks and certainly not new, unproven tech ventures. Today, the attitudes of both private investors and fund managers are changing rapidly. A Financial Times exclusive a few weeks ago revealed that Abu Dhabi’s sovereign wealth fund, Mubadala, is turning away from its roots and ramping up investments in technology, healthcare and disruptive industries.

Last year Mubadala announced that it was investing $2 billion in a 25-year strategy plan led by tech-focused private equity firm Silver Lake. Earlier this month, Silver Lake disclosed that it is investing about $800 million in Abu Dhabi AI and cloud computing company Group 42 (G42), in a sign of the private-equity firm’s deepening relationship with the emirate. The week afterward, Group 42 announced an AI and Big Data joint venture with Israel’s state-owned Rafael Advanced Defense Systems. Although this might look like a game of venture capital pass the parcel, the key takeaway is that big Gulf funds are now looking to new technology and global tech-focused funds are keen to partner with them.

Saudi funds are targeting emerging tech too. Upcoming venture capital investor, backed by one of the world’s largest oil companies, Saudi Aramco Energy Ventures was among a group that awarded $50 million to Seattle-based industrial analytics startup Seeq Corp., as part of its Series C funding round this year. Meanwhile, Riyadh-based Future Investment Initiative Institute (FII-I) has invested in German electric VTOL aircraft startup Lilium.

Funding is also being used as a lever to bring research and development into the GCC. Abu Dhabi-based ADQ‘s Alpha Wave Incubation (AWI) fund invests in Asian startups on the condition that they establish an R&D operation in the city. This month, ADQ announced an investment in Indonesia-based edtech startup CoLearn’s $10 million Series A funding round. As a result, CoLearn is already hiring for its new Abu Dhabi-based R&D team.

UAE National AI Strategy

Lastly, if you are curious to learn more about the UAE’s National AI Strategy, I can recommend watching this new video of the Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, H.E. Omar Sultan AlOlama who presents a concise overview of the country’s strategy and its implementation.

This article was originally published as ‘A letter from the Gulf’ in The AI Journal.

Also see last month’s ‘Letter from the Gulf’

April 14, 2021

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Brazil’s national artificial intelligence strategy – a Estratégia Brasileira de Inteligência Artificial or EBIA in Portuguese – was published in the Diário Oficial da União, the government’s official gazette, last week. The publication of the Brazilian national AI strategy follows a year of public consultation (via an online platform), seeking recommendations from the technology industry and academic experts and benchmarking (2019-2020) and a year of planning and development. The strategy focuses on the policy, investment and initiatives necessary to stimulate innovation and promote the ethical development and application of AI technologies in Brazil, to include education and research and development.

As a country that has struggled with both racial equality and gender equality, it’s no surprise that ethical concerns and policies are made a priority by EBIA. Therefore, core to the strategy is that AI should not create or reinforce prejudices, putting the onus on the developers of artificial intelligence systems to follow ethical principles, meet regulatory requirements and ultimately the responsibility for how their systems function in the real world. Ethical principles will also be applied by the government in issuing tenders and contracts for solutions and services powered by AI. The strategy also embraces the OECD’s five principles for a human-centric approach to AI.

It’s important when reviewing the new EBIA to take into account the Brazilian Digital Transformation Strategy (2018),or E-Digital, which puts in place some foundational policy relevant to AI. E-Digital defines five key goals 1) promoting open government data availability; 2) promoting transparency through the use of ICT; 3) expanding and innovating the delivery of digital services; 4) sharing and integrating data, processes, systems, services and infrastructure; and 5) improving social participation in the lifecycle of public policies and services. This last goal was clearly embraced in the development of EBIA by including the year-long public consultation as part of the process.

More to follow on Brazil’s national artificial intelligence strategy…

Download A Estratégia Brasileira de Inteligência Artificial (EBIA) summary (PDF, Portuguese)

Also read about last year’s publication of the Indonesia National AI Strategy (Stranas KA) and Saudi Arabia’s National Strategy for Data & AI.

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