Data Science Insider: July 8th, 2022

In This Week’s SuperDataScience Newsletter: 'Democratic AI' Can Distribute Wealth Better Than Humans. Data Science to Aid Diabetes Sufferers. Neural Network Discovers Why Some Autistic Adults Can’t Detect Emotion. AI Trends of 2022, So Far. FIFA Will Use AI to Detect Off-Sides at the World Cup. Cheers, - The SuperDataScience Team P.S. Have friends and colleagues who could benefit from these weekly updates? Send them to [this link]( to subscribe to the Data Science Insider. --------------------------------------------------------------- ['Democratic AI' Can Distribute Wealth Better Than Humans]( brief: A new study from DeepMind has been published, which suggests that AI may be able to make better decisions about the economy than humans can. The study, titled ‘Human-centred mechanism design with Democratic AI’ was published in Nature Human Behaviour and highlights how AI could potentially redistribute wealth and resources more effectively than humans and help to end inequality. The study made a group of people play a game where they each received varying levels of money. They then had to decide whether to keep the cash or use different methods to share the wealth, a vote was held on which method of splitting up the profits they preferred. Subsequently, a 'Democratic AI' was taught to play the game and trained on the data. It settled on a 'liberal egalitarian' method of wealth distribution which forced a minimum contribution from poorer players but shared money from the richer players. Why this is important: The DeepMind researchers claim that Democratic AI offers a proof of concept for value-aligned policy innovation. This research could indicate that AI has the potential to help humans design a more fair and prosperous society. [Click here to learn more!]( [Data Science to Aid Diabetes Sufferers]( brief: The British Heart Foundation (BHF) has announced that its Data Science Centre will allow researchers from across the UK to safely access health data in order to analyse the link between diabetes and heart disease. Professor Nilesh Samani, Medical Director at the BHF, said: “We recognise the tremendous potential of data science as we enter a new age of digital medicine. That’s why we are […] working with Diabetes UK and Health Data Research UK to launch the Diabetes Data Science Catalyst. The BHF and Diabetes UK share a common goal to reduce the burden of cardiovascular diseases in people living with diabetes and this new initiative will strengthen our ability to tackle this important problem. By unlocking the power of data, we will be able to better understand how diabetes increases the risk of developing deadly heart and circulatory conditions, and how we can save families from this heartbreak.” Why this is important: Currently in the UK alone, more than 4.9 million people have diabetes, of which 90% also have type 2 diabetes. By using data science, researchers may be one step closer to ending one of the greatest global health crises of our time. [Click here to read on!]( [Why Some Autistic Adults Can’t Detect Emotion]( In brief: The Centers for Disease Control and Prevention (CDC) estimates that around 1% of the world’s population has autism spectrum disorder, which equates to over 75,000,000 people. One of the most common symptoms of autism is the inability to interpret facial expressions in the same way that a neurotypical person would. This can lead to difficulties in reading social cues. Until now, the cause of this struggle has been unknown but researchers at MIT have created an AI that has helped shed light on the causes of this. They have published a paper in The Journal of Neuroscience which revealed their findings that adults who do not display autistic characteristics and adults with autism might have key differences in a region of their brain called the IT cortex. It is these differences that could determine whether or not they can detect emotions via facial expressions. Why this is important: An artificial neural network was specially trained for the research to be conducted. The success of the trial opens up the possibility of more computational models of visual processing being used in future research. [Click here to discover more!]( [AI Trends of 2022, So Far]( In brief: Although it may only seem like five minutes ago when we counted down to midnight and ushered in the new year, we are now officially more than halfway through 2022! As such, Venture Beat is reflecting on what the key trends in AI have been so far. The overriding theme is the significance of scale with Whit Andrews, vice president and distinguished analyst at Gartner Research stating: “If you want to think of a new thing, the new thing that is going to be most attractive is going to be something that you can do with scaled AI. The human skills are present, the tools are cheaper, and it’s easier now to get access to data that might be relevant to what you’re trying to accomplish.” The article argues that the move towards scaling AI comes as a result of data, prioritising data strategy, and cheaper computing power. Why this is important: The increased scale of AI within organisations is the overriding trend that all other AI trends serve, but this article does a good job of analysing the position of AI within institutions and businesses and paints a vivid portrait of the current state of the industry. [Click here to see the full picture!]( [FIFA Will Use AI to Detect Off-Sides at the World Cup]( In brief: Arguing over whether a goal was offside or not is a sporting tradition that FIFA is seeking to eradicate from the upcoming 2022 World Cup in Qatar. The international governing body of association football is planning to use semi-automated technology to help referees make more accurate offside decisions during the tournament. The technology will work by using 12 cameras installed underneath the roof of the stadium to track the ball across the field, as well as 29 data points of each individual player, including all relevant limbs and extremities. The cameras will detect the positioning of the ball and the players at a rate of 50 times per second, calculating their exact position on the field. An automated offside alert will then be sent to match officials inside the video operation room indicating whether or not a player was in an offside position. Why this is important: This is the latest way that FIFA is embracing technology at World Cups and follows the introduction of the video assistant referee, more commonly known as VAR, at the 2018 World Cup. FIFA claims that the new process will happen “within a few seconds and means that offside decisions can be made faster and more accurately.” [Click here to find out more!]( [Super Data Science podcast]( this week's [Super Data Science Podcast](, Hilary Mason, Co-Founder and CEO of Hidden Door, joins us for a live talk that covers narrative A.I., emerging ML techniques, and life as the CEO of an early-stage A.I. company. --------------------------------------------------------------- What is the Data Science Insider? This email is a briefing of the week's most disruptive, interesting, and useful resources curated by the SuperDataScience team for Data Scientists who want to take their careers to the next level. Want to take your data science skills to the next level? 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