IEEE North Jersey Section

In recent times, we often hear a call for the governance of AI systems, but what does that really mean? In this talk, I will first adopt a control theory perspective to explain governance that determines the reference input via value alignment, data scientists acting as the controller to meet the values in a machine learning system, and facts captured in transparent documentation as the feedback signal. I will then adopt a nursing theory perspective to explain how the control theory perspective lacks caring and the need for a carative approach that starts with the real-world problem as experienced by the most vulnerable people. I will conclude with an example of a project on using machine learning to evaluate applicants for home solar panel systems in rural India as well as a discussion of governing large language models. Co-sponsored by: Fairleigh Dickinson University Speaker(s): Dr. Kush Varshney , Agenda: In recent times, we often hear a call for the governance of AI systems, but what does that really mean? In this talk, I will first adopt a control theory perspective to explain governance that determines the reference input via value alignment, data scientists acting as the controller to meet the values in a machine learning system, and facts captured in transparent documentation as the feedback signal. I will then adopt a nursing theory perspective to explain how the control theory perspective lacks caring and the need for a carative approach that starts with the real-world problem as experienced by the most vulnerable people. I will conclude with an example of a project on using machine learning to evaluate applicants for home solar panel systems in rural India as well as a discussion of governing large language models. Virtual: https://events.vtools.ieee.org/m/410062

We study the problem of deriving financially adequate prices for trading a perishable commodity under a centralized auction with environmental considerations. Our model is based on an electricity market, with producers using conventional technologies with byproduct emissions; and environmentally clean producers subject to exogenous weather realizations, but lower emissions in production. For this purpose, we derive a new financially adequate market clearing pricing scheme. Unlike related financially adequate pricing schemes that only take into account the marginal market costs associated with market clearing commodity demands, the proposed pricing scheme also takes into account the marginal market costs associated with the market participants operating at maximum capabilities. The proposed pricing scheme allows to analyze the effects of environmental limitations in the market, as it internalizes, in the pricing signals, the costs or benefits associated with compliance of these limits by the market participants; and in particular, conventional technology producers including transit operators. Speaker(s): Alberto Lamadrid Agenda: - Talk by Alberto Lamadrid at 4:00 pm - Dinner box after the talk at 5:00 pm - You don't have to be an IEEE member to attend this meeting. Room: 202, Bldg: ECE, New Jersey Institute of Technology, 141 Warren St, Newark, New Jersey, United States, 07103

[] Join Documentary Night with Oral History of Ayanna Howard, PhD, an Interview by Robotics & Automation. Robotics History: Narratives and Networks Oral Histories: Ayanna Howard. IEEE Robotics and Automation Society. Recorded 22 Jan. 2015. https://ieeetv.ieee.org/history/robotics-history-narratives-and-networks-oral-histories-ayanna-howard Ayanna Howard: An Interview conducted by Peter Asaro, IEEE History Center, 22 January 2015. Interview # 791 for Indiana University and IEEE Center, The Institute of Electrical and Electronics Engineers, Inc. Ayanna Howard grew up in Pasadena, California. She then attended Brown University received her Bachelor’s degree in Computer Engineering. Howard attended University of Southern California for her doctorate degree where she wrote her thesis on enabling a robot manipulator to sort out waste for hospitals. During and after her time as a graduate student, Howard worked at NASA’s Jet Propulsion Laboratory (JPL) where she became interested in artificial intelligence and human-robot interaction. After the space shuttle accident at NASA, Howard left Jet Propulsion Laboratory to join Georgia Tech faculty in 2005. At Georgia Tech, she spearheaded the organization of Georgia Tech’s Ph.D program in robotics and founded Zyrobotics, a company that utilizes her research in order to develop therapy and educational products for children with disabilities. Currently, Howard is professor at Georgia Tech, in School of Electrical and Computer Engineering and is also involved with the IEEE and Computing Research Association – Women (CRA-W). In this interview, Ayanna Howard discusses her past and current research, her interest in integrating robots with humans, and her collaboration with children, NASA, colleagues and students. She also gives advice to prospective students who are interested in robotics and talks about the issue of diversity in field of engineering. Virtual: https://events.vtools.ieee.org/m/411045