facial recognition Archives — Carrington Malin

    May 3, 2021
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    ArticlesThe AI Journal0

    The GCC’s growing appetite for technology investments

    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’

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    December 19, 2019
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    ArticlesThe National0

    Should emotion recognition be banned? NYU says it should

    The potential for emotion recognition is huge, but scientists at the university argue the technology is still too new to be reliable

    A growing number of employers are requiring job candidates to complete video interviews that are screened by artificial intelligence (AI) to determine whether they move on to another round. However, many scientists claim that the technology is still in its infancy and cannot be trusted. This month, a new report from New York University’s AI Now Institute goes further and recommends a ban on the use of emotion recognition for important decisions that impact people’s lives and access to opportunities.

    Emotion recognition systems are a subset of facial recognition, developed to track micro-expressions on people’s faces and aim to interpret their emotions and intent. Systems use computer vision technologies to track human facial movements and use algorithms to map these expressions to a defined set of measures. These measures allow the system to identify typical facial expressions and so infer what human emotions and behaviours are being exhibited.

    The potential for emotion recognition is huge. According to Indian market intelligence firm Mordor Intelligence, emotion recognition has already become a $12 billion (Dh44bn) industry and is expected to grow rapidly to exceed $90bn per year by 2024. The field has drawn the interest of big tech firms such as Amazon, IBM and Microsoft, startups around the world and venture capitalists.

    Advertisers want to know how consumers respond to their advertisements, retail stores want to know how shoppers feel about their displays, law enforcement authorities want to know how suspects react to questioning, and the list of customers goes on. Both business and government entities want to harness the promise of emotion recognition.

    As businesses the world over look to AI to improve processes, increase efficiency and reduce costs, it should come as no surprise that AI is already being applied at scale for recruitment processes. Automation has the strongest appeal when an organisation has a volume of repetitive tasks and large volumes of data to process, and both issues apply to recruitment. Some 80 per cent of Fortune 500 firms now use AI technologies for recruitment.

    Emotion recognition has been hailed as a game-changer by some members of the recruitment industry. It aims to identify non-verbal behaviours in videos of candidate interviews, while speech analysis tracks key words and changes in tone of voice. Such systems can track hundreds of thousands of data points for analysis from eye movements to what words and phrases are used. Developers claim that such systems are able to screen out the top candidates for any particular job by identifying candidate knowledge, social skills, attitude and level of confidence – all in a matter of minutes.

    As with the adoption of many new AI applications, cost savings and speed are the two core drivers of AI-enabled recruitment. Potential savings for employers include time spent on screening candidates, the numbers of HR staff required to manage recruitment and another safeguard against the costly mistake of hiring the wrong candidate for a position. Meanwhile, the message for candidates is that AI can aid better job placement, ensuring that their new employer is a good fit for them.

    However, the consensus among scientific researchers is the algorithms developed for emotion recognition lack a solid scientific foundation. Critics claim that it is premature to rely on AI to accurately assess human behaviour, primarily since most systems are built on widespread assumptions not independent research.

    Emotion recognition was the focus of a report published earlier this year by a group of researchers from the Association for Psychological Science. The researchers spent two years reviewing more than 1,000 studies on facial expression and emotions. The study found that how people communicate their emotions varies significantly across cultures and situations, and across different people within a single situation. The report concluded that, for the time being, our understanding of the link between facial expression and emotions is tenuous at best.

    Unintentional bias has become the focus of growing scrutiny from scientists, technology developers and human rights activists.

    Many algorithms used by global businesses have already been found to have bias related to age, gender, race and other factors, due to the assumptions made whilst programming them and the type of data that has been used to feed machine learning. Last year, Amazon shut down an AI recruiting platform after finding that it discriminated against women.

    One thing is for sure: regardless of the potential merits of emotion recognition and whether it prevents or promotes your chances of being offered a job, it is likely to remain the subject of debate for some time to come.

    This story was first published by The National

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    September 16, 2019
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    ArticlesLinkedin0

    Will UK consumers ever accept face scans for retail?

    Thousands of retail stores in hundreds of cities across China are already using facial recognition technology to accept payments from their customers. Shoppers find it fast and convenient, in particular when self-checkout systems allow consumers to skip store checkout queues. In fact, it is becoming the new standard for in-store electronic payments, with Chinese shoppers even using face scan payments for buying everyday grocery items such as a loaf of bread.

    But, thousands of kilometres away in the British Isles, public distrust in facial recognition technology seems to be intensifying.

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    September 6, 2019
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    ArticlesLinkedin0

    Does GDPR protect the privacy of your emotions?

    The increasing spread of emotional AI, brings with it new concerns about privacy, personal data rights and, well, freedom of expression (although, in a sense, perhaps, not thought about much in the past). The data that the emotion recognition captures could be considered to be biometric data, just like a scan of your fingerprint. However, there is little legislation globally that specifically addresses the capture, usage rights and privacy considerations of biometric data. Until GDPR.

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