Keynote Address
AI Past, Present and Future
Artificial Intelligence (AI) has become a ubiquitous topic. Experts and non-experts, government, commercial entities, and private individuals are interested, curious and at times fearful of the potentials of AI. Although AI has drawn a great deal of attention recently, it has been a research area for many decades that led to many advances in the technology and provided us numerous useful applications throughout. Recent advances in AI research led to the development of Large Language Models (LLMs). These powerful tools can pass the Touring Test under certain conditions. While recent advancements in AI, particularly LLMs, have captured widespread attention, the field has been evolving for decades, enabling multiple impactful and powerful applications along the way.
In this talk, we will explore the history, current state, and potentials for future progress of AI. Are we close to solving the AI problem? Are machines getting closer to thinking and possibly acceding human capabilities? Should we be afraid of the future? We will examine some aspects of AI that may have no solutions, sparking thought-provoking discussions about the true potential and limitations of this transformative technology.
Join us as we examine the past, present, and future of AI , and ask whether we’re truly ready for the next chapter.
Joseph Olive
Education:
BS, Physics, UofC, 1964 (class ’63), MS, Physics, UofC, 1964, PhD, Physics, MA, Music Theory and Composition, UofC, 1969
Work:
RESEARCH, AT&T Bell Labs, Member of Technical Staff /Supervisor, 1969 – 1996 – Signal processing, Natural Language Processing, Multi-lingual text-to-speech, hardware design, computer singing (opera – a grant from NEA)
Director, Language Modeling and Dialogue Systems Research Department, Bell Labs,1996-2003, CTO, Lucent Speech Solutions. 1996-1999 – research in Text to Speech Synthesis (TTS), Automatic Speech Recognition (ASR), Speaker Verification (SV), document processing, and Dialogue Systems including a platform to interact with computers remotely by voice. Managed the development of Lucent’s software speech processing products and applications.
Visiting Professor at UNL Electrical Engineering Department 2003-2004
Program Manager in the Information Processing Techniques Office (IPTO) at DARPA 2005-2011 – created and managed programs in machine translation from text and speech, targeted information retrieval, Optical character recognition for translation and analysis, detection of speech in extreme noise environments, and a translation program for colloquial language.
Scientific, Technical, and Engineering Assistant in the Information Inovation Office (I2O) at DARPA 2011-present – Advised and help manage multiple programs at DARPA in multimedia and Artificial Intelligence programs for multiple DARPA program managers.
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