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.
Aileen Nielsen works at an early-stage NYC startup that has something to do with time series data and neural networks. Previously, Aileen worked at corporate law firms, physics research labs, a variety of NYC tech startups, and most recently, the mobile health platform One Drop as well as on Hillary Clinton’s presidential campaign. Her interests range from defensive software engineering to UX designs for reducing cognitive load to the interplay between law and technology. She also serves as chair of the New York City Bar Association’s Science and Law Committee, which focuses on how the latest developments in science and computing should be regulated and how such developments should inform existing legal practices. Aileen is a frequent speaker at machine learning conferences on both technical and legal subjects.
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