The latest AIX Files is out: Thinking AI: a Formula For Learning and Fairness.AI does many things far better than we do, but ensuring fairness involves decisions on our values, some of which are unaligned and nearly impossible to harmonize: can AI reduce us, our humanity, and everything that makes us tick, into a collection of data points? Or will there always be an elusive “ghost in the machine” that AI will never quite capture?  It's a thorny topic - I cite thoughts and insights from Ravit Dotan, PhD, Founder and CEO of TechBetter, Responsible AI Advocate of Bria and AI Ethicist, based on a podcast she was on several months back. On it, Dr. Dotan discussed AI regulation, balancing governance with innovation, what the future holds, and more in an action-packed 30+ minutes. However, it was on the issue of AI and fairness that I found her comments particularly interesting and thought-provoking. Check out the column, check out the full interview (link in the column), check out her recently published effort at integrating two of the most influential and comprehensive AI governance standards in the world (EU AI Act and the NIST AI RMF)...but, most importantly, check out www.aixonhr.com. Thank you.https://aixchronicles.substack.com/p/thinking-ai-a-formula-for-learning