Like many new disciplines, Artificial Intelligence (AI) has developed through a series of fits and starts lurching and reeling from side to side like an awkward Frankensteinian robot through summers of unbridled optimism and winters of profound discontent as it blindly gropes its way ahead toward a still-nebulous future. Now, it seems, the field is once again making firm strides forward in applications that are both capturing the imagination of pundits and stoking the fears of the public. Over the past decades, Jeff has been lucky enough to follow some of these developments from a front-row seat. He will share selected perspectives on current and past research including the various pendulum swings over the years between extremes, such as expertise-based knowledge engineering vs. data-centric machine learning, autonomous vs. mixed-initiative systems, publicly available chatbot capabilities vs. personalized, policy-governed multi-agent systems. In this talk, I will show what past research in AI has to teach us about the future.
Jeffrey M. Bradshaw (PhD, Cognitive Science, University of Washington) has worked as a Senior Research Scientist at the Institute for Human and Machine Cognition (IHMC) for more than twenty years (www.ihmc.us/groups/jbradshaw). His professional writings have explored a wide range of topics in human and machine intelligence and how they can be combined
(www.jeffreymbradshaw.net). From 1985–2000, Jeff led research groups at The Boeing Company.