Ethics In Artificial Intelligence Bias Fairness And Beyond Animesh Mukherjee by Animesh Mukherjee, Juhi Kulshrestha, Abhijnan Chakraborty, Srijan Kumar, (eds.) 9789819971848, 9819971845 instant download after payment.

This book introduces some of the latest developments in the area of ethical practices in Artificial Intelligence. As AI becomes pervasive in physical and online domains to serve many crucial applications and decision-making systems, such as giving bail, self-driving, providing healthcare recommendations and more, it is of critical importance to understand the potential downsides and the unintended consequences of AI. While pioneers like Ray Kurzweil paint a very promising picture of the future of AI, philosophers like Nick Bostrom caution us about the emergence of “super intelligence”. In fact, visionaries like Elon Musk, Bill Gates and Stephen Hawking have repeatedly urged administrations to factor in ethical and engineering standards in the development and deployment of AI systems that are going to somehow “monitor” the future of humanity. Some of the glaring questions of current times are
—How can we tackle the problem of biased learning in AI behavior; for instance, reinforcing racial and gender informed discriminations in human decision-making? How do we allocate responsibility for accidents/errors caused by AI systems such as autonomous vehicles or medical diagnostics? Can we have AI systems that complement rather
than displace human intelligence in order to support a more sustainable and just world?