Refining the Turing test in the quest for AI authenticity

Description

AI has transitioned from an era of novelty to the era of the fake out. Fake is everywhere: in the news, in bots trolling Twitter, in scam emails that no longer have human authors. Even the legitimate A may be overdoing the “fake”, substituing human performance with machine performance, often by making allowances for lower and somewhat altered quality.

There are limits to the profitability of these techniques, and increasingly signs of consumer fatigue are evident in response to whiz bang AI. Researchers and consumers alike recognize a need for less eery and uncomfortable deployment of AI in the marketplace, in law, and in society.

Aileen Nielsen offers an overview of how law and consumer behavior alike increasingly require a more “authentic” AI and how business leaders are responding to this need. Along the way, Aileen explores how the current state of the art in machine learning and deep learning can respond to this desire from AI end users. She concludes with thoughts on how cutting-edge technical research is likely to lead to authenticity breakthroughs.