Blog Archives — Carrington Malin

September 4, 2023
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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.

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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.

Brazil's national artificial intelligence strategy chart

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.


October 21, 2020
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The Saudi national AI strategy was announced today at the virtual Global AI Summit by Saudi Data and Artificial Intelligence Authority (SDAIA) president Dr. Abdullah bin Sharaf Al-Ghamdi. The National Strategy for Data & AI (NSDAI) includes ambitious goals for skilling-up Saudi talent, growing the nation’s startup ecosystem and attaining global leadership in the AI space. It also aims to raise $20 billion in investment for data and AI initiatives.

Dr. Abdullah bin Sharaf Al-Ghamdi, President of the Saudi Data and Artificial Intelligence Authority (SDAIA) today gave a brief introduction to some of the key goals of Saudi Arabia’s national AI strategy, now named the National Strategy for Data & AI (NSDAI). Speaking at the inaugural Global AI Summit, he advised that Saudi Arabia has set ambitious targets for its national AI strategy, including a goal of attracting $20 billion in investments by 2030, both in foreign direct investment (FDI) and local funding for data and artificial intelligence initiatives.

As detailed by Dr. Al-Ghamdi, the Kindgom aims to rank among the top 15 nations for AI by 2030, it will train 20,000 data and AI specialists and experts and it will grow an ecosystem of 300 active data and AI startups. He also urged participants in the virtual event to challenge themselves, to think and work together, and to shape the future of AI together for the good of humanity.

Formed last year, with a mandate to drive the national data and AI agenda, the SDAIA developed a national AI strategy which was approved by King Salman bin Abdulaziz Al Saud in August 2020. No details of the National Strategy for Data & AI were shared until today.

According to an official SDAIA statement, the NSDAI will roll-out a multi-phase plan that both addresses urgent requirements for the next five years and contributes to Vision 2030 strategic development goals. In the short term, the strategy will aim to accelerate the use of AI in education, energy, government, healthcare and mobility sectors.

Saudi National Strategy for Data & AI goals
Source: Saudi Data and Artificial Intelligence Authority (SDAIA)

Six strategic areas have been identified in the NSDAI:

  • Ambition – positioning Saudi Arabia as a global leader and enabler for AI, with a goal of ranking among the first 15 countries in AI by 2030.
  • Skills – transforming the Saudi workforce and skilling-up talent, with a target of creating 20,000 AI and Data specialists and experts by 2030.
  • Policy & regulation – developing a world-class regulatory framework, including for the ethical use of data and AI that will underpin open data and economic growth.
  • Investment – attracting FDI and local investment into the data and AI sector, with a goal of securing a total of $20 billion (SAR 75b) in investments.
  • Research and innovation – the NSDAI will also drive the development of research and innovation institutions in data and AI, with an objective of the Kingdom ranking among the top 20 countries in the world for peer reviewed data and AI publications.
  • Digital ecosystem – the new national AI strategy also aims to drive the commercialization and industry application of data and AI, creating an ecosystem with at least 300 AI and data startups by the year 2030.

Over the past year, SDAIA has established three specialised centres of expertise: the National Information Center, the National Data Management Office and the National Center for AI. It has also begun building perhaps the largest government data cloud in the region, merging 83 data centres owned by over 40 Saudi government bodies. More than 80 percent of government datasets have so far been consolidated under a national data bank.

The formation of the SDAIA follows the adoption of the government’s ‘ICT Strategy 2023‘ in 2018, which aims to transform the kingdom into a digital and technological powerhouse. The government identified technology as a key driver for its Vision 2030 blueprint for economic and social reform. Digitisation and artificial intelligence are seen as key enablers of the wide-ranging reforms.

Artrificial intelligence, big data and IoT are also pivotal for the massive $500 billion smart city, Neom, announced by Saudi Crown Prince Mohammed bin Salman in 2017. Infrastructure work on the 26,000 square kilometre city began earlier this year.

Meanwhile, the authority has been using AI to identify opportunities for improving the Kingdom’s government processes, which may result in some $10 billion in government savings and additional revenues.

More than fifty government officials and global AI leaders are speaking at this week’s Global AI Summit, which takes place today and tomorrow. The online event coincides with the year of Saudi’s presidency of the G20.

Download the National Strategy for Data & AI Strategy Narrative – October 2020 (PDF)

Watch the NSDAI promotion video from the Global AI Summit (Youtube)

Updated 23 October 2020


September 5, 2020
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The Saudi national artificial intelligence strategy is to be launched at the Global AI Summit, which will now take place virtually from 21-22 October*, according to a statement from the Saudi Data and Artificial Intelligence Authority (SDAIA) on Friday. It was disclosed in August that the national AI strategy presented by the authority (since named the National Strategy for Data & AI) had been approved by King Salman bin Abdulaziz Al Saud. PWC has forecast that AI could contribute $135 billion (or 12.4%) to Saudi Arabia’s GDP by the year 2030.

Established by royal decree in August 2019, the SDAIA was given the mandate to drive the national data and AI agenda for transforming the country into a leading data-driven economy, and has developed Saudi Arabia’s national AI strategy over the past year. Although the details of the plan have been kept under wraps, the new strategy is expected to contribute to 66 of the country’s strategic goals, which are directly or indirectly related to data and AI.

The SDAIA has already reached a number of milestones since its inception, establishing three specialised centres of expertise: the National Information Center, the National Data Management Office and the National Center for AI. It has also begun building one of the largest data clouds in the region by merging 83 data centres owned by over 40 Saudi government bodies. More than 80 percent of government datasets have so far been consolidated under a national data bank.

Meanwhile, the authority has been using AI to identify opportunities for improving the Kingdom’s government processes, which may result in some $10 billion in government savings and additional revenues.

Originally slated for March 2020, the Global AI Summit will discuss AI, its applications, impact on social and economic development, plus global challenges and opportunities. The event aims to connect key decision makers from government and public sector, academia, industry and enterprise, tech firms, investors, entrepreneurs and startups.

October’s virtual summit will be organised into four tracks:

    • Shaping the new normal;
    • AI and governments;
    • Governing AI; and
    • The future of AI.

The Global AI Summit aims to tackle the challenges faced by countries around the world, from technical to ethical. Details of the agenda and speaker platform for the Global AI Summit have yet to be announced, although the presentation of the Saudi national artificial intelligence strategy is bound to be a highlight.

*Updated 17 September 2020

Also read: Saudi national AI strategy announced with investment target of $20 billion – 21 October 2020


August 16, 2020
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The Indonesia National AI Strategy, now known as Stranas K.A. (Strategi Nasional Kecerdasan Artifisial), has been published. The new strategy was announced by the Minister of Research and Technology and head of the BRIN (the National Research and Innovation Agency) Bambang PS Brodjonegoro in an television address made last Monday to mark the country’s 25th National Technology Awakening Day. The minister also launched an electronic innovation catalogue, helping Indonesian technology developers to market their offerings and sell to government procurement offices.

Transforming Indonesia into a Fourth Industrial Revolution economy has become focus for the government over the past few years and the necessity of creating a digital-savvy workforce has become a top priority. Stranas K.A. aims to tie together many of the country’s digital initiatives and maps closely to Visi Indonesia 2045, the country’s broad economic, social, governance and technology development strategy. The National Artificial Intelligence Strategy Framework provides an at-a-glance view of how these different goals are held in context.

Stranas K.A. aims to support five national priorities, where the government believes that artificial intelligence could have the biggest impact on national progress and outcomes.

Health services – With 268 million people living across 6,000 of Indonesia’s total 17,504 islands, delivering a consistent standard of healthcare is a national challenge. The archipelago also faces increased risks from global disease outbreaks such as SARS and, recently, Covid-19. The country’s response to the pandemic has already somewhat accelerated plans for smart hospitals and health security infrastructure.

Bureaucractic reform – With a civilian civil service of about 4 million, reforming the government’s highly centralised administration remains a significant challenge. Indonesia is lagged in implementation of digital services, according to the United Nations E-Government Development Index (EGDI), ranking below Borneo, Malaysia, Singapore, Thailand and Vietnam. President Joko Widodo has promised to create a citizen-centric digitised service government (Pemerintahan Digital Melayani) in the next five years.

Education and research – Education is integral to Visi Indonesia 2045 and the move towards online schooling during the Covid-19 pandemic has laid bare the country’s digital divide. The pressures of the digital economy are also recognised by development plans. According to the government, Indonesia needs a digital workforce of 113 million by 2030-2035.

Food security – According to President Widodo, food security remains Indonesia’s top priority and the Food Security Agency focuses on three main areas: food availability, food accessibility and food utilisation. Food, agriculture and fisheries government departments and agencies have already begun using satellite technology, machine learning and smart farming to better plan, forecast and manage agricultural production and natural resources.

Mobility and smart cities – The number of people living in Indonesia’s urban areas is now close to 60 percent and is expected to rise to 70 percent of the total population by the year 2050. The government currently plans to develop 98 smart cities and 416 smart districts, under Indonesia’s 100 Smart Cities Plan.

Indonesia National AI Strategy, August 2020

Meanwhile, the Indonesia national AI strategy identifies four key focus areas:

    1. Ethics and Policy
    2. Talent Development
    3. Infrastructure and Data
    4. Industrial Research and Innovation

Indonesia is already one of South East Asia’s biggest investors in artificial intelligence, with IDC’s 2018 Asia-Pacific Enterprise Cognitive/AI survey finding that 25 percent of large organisations in the country have adopted AI systems (compared with 17% in Thailand, 10% in Singapore and 8% in Malaysia).

Smart cities, one of Stranas K.A.’s five top priority areas, have been identified as a fundamental building block for Indonesia’s Industry 4.0 future. Last year President Widodo announced plans to create a new futuristic smart city capital on the island of Borneo, to replace Jakarta. The new capital will rely heavily on sustainable smart city systems, cleantech and infrastructure run by emerging technologies such as 5G, AI and IoT (Internet of Things). Originally slated for completion by 2024 (pre-pandemic) and estimated to cost $33 billion, the project reportedly received an offer by Japanese multinational investor SoftBank Group to invest up to $40 billion.

The Indonesia National AI Strategy details a programme roadmap for both its four key focus areas and the five national priorities, for which it considers plans as short-term (2020-2024) and longer-term (2025-2045). All in all, the strategy document identifies 186 programmes, including many that aim to develop the plans, pilot schemes, policies and regulations, plus checks and balances, necessary to drive the overall strategy.

Underpinning the acceleration of Indonesia’s artificial intelligence journey, Stranas K.A. includes plans for national standards, regulations and an ethics board to ensure that usage of AI is in accordance with the country’s Pancasila values system.

The development of the 194-page National Artificial Intelligence Strategy was coordinated by the Agency for the Assessment and Application of Technology or BPPT, a non-ministerial government agency under the coordination of the Ministry for Research and Technology, and was widely anticipated to be announced in July or August. A wide variety of public and private sector organisations contributed to the plan including government ministries, universities, industry associations and national telecom providers.

Although many of the programmes and initiatives detailed in the Indonesia National AI Strategy can be found in existing government strategies, plans and policy, Stranas K.A. is nevertheless highly ambitious. The success of the overall plan will likely rest heavily on how many of the foundation programmes it is able to get off the ground during the next 4-5 years.


August 12, 2020
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The Saudi national AI strategy has been approved, according to comments made by Saudi Data and Artificial Intelligence Authority (SDAIA) president, Dr. Abdullah bin Sharaf Al-Ghamdi this week. As reported by the Saudi Press Agency (SPA) on Sunday, King Salman bin Abdulaziz Al Saud has approved the Saudi National Strategy for Data & Artificial Intelligence (NSDAI), which has been prepared over the past year by SDAIA.

According to Dr. Abdullah, the new strategy will enable government and private sector programmes to contribute towards the goals of the Kingdom’s Vision 2030. Overall, the authority expects the new strategy to contribute to 66 of the country’s strategic goals, which are directly or indirectly related to data and AI.

SDAIA was established by Royal Order no. 74167 in August last year, giving the authority the mandate to drive the national data and AI agenda for transforming the country into a leading data-driven economy. The decree also ordered the authority to establish three specialised centres of expertise: the National Information Center, the National Data Management Office and the National Center for AI.

Speaking at the launch of the SDAIA’s new brand identity in March, Dr. Abdullah talked of an ambitious and innovative Saudi national AI strategy that would optimise national resources, improving efficiencies and enabling the creation of diversified economic sectors. However, no details of the plan have yet been shared publicly.

The SDAIA has already been using AI applications to analyse government processes and procedures, with its initial assessment being that the opportunities identified could generate more than $10 billion in government savings and additional revenues.

The authority has also established a national data bank consolidating more than 80 percent of government datasets (or 30 percent of total government digital assets) and has rolled-out a G-Cloud (or Government-Cloud) aimed at building one of the largest data clouds in the region through the merger of 83 data centres owned by over 40 Saudi government bodies.

According to a 2017 study by PWC on the global impact of artificial intelligence, AI could contribute $135 billion (12.4%) to Saudi Arabia’s GDP by the year 2030, being the second-highest predicted share for the contribution of AI to GDP in the Middle East region after the UAE.

The timing of the national AI strategy approval comes just a few weeks in advance of the planned Global AI Summit organised by the SDAIA, which is currently scheduled to take place in the Saudi capital of Riyadh, 14-15 September.

Updated 16.57 hrs 12 August 2020

Also read: Saudi national AI strategy announced with investment target of $20 billion – 21 October 2020