This well attended event entitled: “Artificial Intelligence: What Can be Learned from Other Countries Approaches?” can be viewed on YouTube here.   Professor Susan Aaronson provide a preview of her work on the topic which will be discussed in a paper entitled: “Data is a Development Issue.”  Some takeaways included the reality that there are no broadly generalizable studies on the impact of AI on job creation – in fact, available data can be used to posit both that it contributes to job loss or gain; cybersecurity will include an AI component; bias in AI is possible (just as it is in non-AI contexts), but it can be addressed; and, the AI use skills deficiency in people capable of an inter-disciplinary approach to AI use is both real but also an opportunity.  Given that McKinsey (among other estimates of the economic impact of AI) estimates that AI could deliver up to 16% higher global GDP by 2030, understanding and taking advantage of t ...