Artificial intelligence (AI) is increasingly manifest in everyday work, learning, and living. Reports attempting to gauge public perception suggest that amidst exaggerated expectations and fears about AI, citizens are sceptical and lack understanding of what AI is and does (Archer et al., 2018). Professional … Continued
Explainable AI (XAI) research has been booming, but the question “To whom are we making AI explainable?” is yet to gain sufficient attention. Not much of XAI is comprehensible to non-AI experts, who nonetheless, are the primary audience and major stakeholders … Continued
We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science create tension between identifying patterns in data versus discovering patterns in … Continued
A challenge in using robots in human-inhabited environments is to design behavior that is engaging, yet robust to the perturbations induced by human interaction. Our idea is to imbue the robot with intrinsic motivation (IM) so that it can handle … Continued
https://kaifulee.medium.com/can-humans-and-ai-work-side-by-side-a-guide-to-what-comes-next-ce5ad1755b2f Sample… But he was right about one thing: AI and robotics could eventually lead to a future where technology is so advanced that our role, much of our work and even our purpose in life could fundamentally change. As someone … Continued
Policymakers face a broader challenge of how to view AI capabilities today and where does society stand in terms of those capabilities. This paper surveys AI capabilities and tackles this very issue, exploring it in context of political security in … Continued
The research paradigm of the Observation–Hypothesis–Prediction–Experimentation loop has been practiced by researchers for years towards scientific discovery. However, with the data explosion in both mega-scale and milli-scale scientific research, it has been sometimes very difficult to manually analyze the … Continued
People, organizations, and products are continuously ranked. The explosion of data has made it easy to rank everything, and, increasingly, outlets for information try to reduce information loads by providing rankings. In the present research, we find that rank information … Continued
Computational thinking, a K–12 education movement begun in 2006, has defined a curriculum to teach basic computing in pre-college schools. It has been dramatically more successful than prior computer literacy or fluency movements at convincing K–12 school teachers and boards to … Continued
Expert decision makers are starting to rely on data-driven automated agents to assist them with various tasks. For this collaboration to perform properly, the human decision maker must have a mental model of when and when not to rely on … Continued