Prof. Claudia V. Goldman

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Prof.
Claudia
V.
Goldman
K-mart Center Director

Claudia V. Goldman is an Associate Professor in the Data Science Department at the Hebrew University Business School.

Goldman is an expert in artificial intelligence (AI), and her research focuses on the interactions between humans and AI algorithms, including intelligent agents, decision making under uncertainty algorithms, explainable AI and intuitive interfaces.

Prof. Goldman has worked in the high-tech industry for the last 18 years as a senior and staff researcher in General Motors R&D organization and as a CTO staff researcher and team leader in Samsung Technical Research Center. Previously, Prof. Goldman held research fellowship positions at the University of Haifa, the University of Massachusetts-Amherst (USA) and Bar Ilan University.

Her research focuses on responsible AI applied to human-machine interactions, specifically in the domain of AI for Social Good. During her graduate and postgraduate studies, Prof. Goldman studied how cooperative behaviors among intelligent agents can be computed, under either lack of access to information or uncertainty in the environment. During her tenure in the industry, Goldman’s work expanded to include the human-in-the-loop as in the following examples:

  •  Recommendation systems: How can we develop an AI system that can recommend its users, which settings to change, to improve the efficiency of the system (for example saving energy consumption)? [IAAI 2014, AAMAS 2014, AI Magazine 2015]
  •  Adaptive systems: How can an AI system learn to change its automated behavior from its users’ preferences and inputs to improve the user experience (for example, by reducing the number of manual interventions required for the interaction)? [ECAI 2016, HAI 2020].
  •  Explainable AI systems: How can an AI system compute automated explanations for users, explaining the AI system behavior?
    •  Smart Manufacturing [Smart Manufacturing, 2020 and Journal of Industrial Information Integration, 2023].
    •  Explaining CNN predictions with semantics [IEEE IV ‘21]
    •  ADAS/Mobility: Explaining planning decisions [IEEE IV 2022, 4th International Conference on Statistics, 2022; AAMAS 2023, ECAI 2024, and two journal papers under revision (2024)].

Her research has been published in AI related journals and conferences, IEEE journals related to transportation and decision making, and smart manufacturing journals; she also holds 67 patents (21 granted and 46 filed).

Prof. Goldman earned her Ph.D in Computer Science from the Hebrew University. She holds an M.Sc. and a B.Sc. in Computer Science from the Hebrew University.

Prof. Goldman will be teaching courses that will help students deepen their understanding about AI systems, automated decision-making and human-machine interactions (Human-centered AI, Responsible AI, and AI for Social Good), complementing their studies in Data Science.

Publications

 

Claudia V. Goldman is an Associate Professor in the Data Science Department at the Hebrew University Business School.

Goldman is an expert in artificial intelligence (AI), and her research focuses on the interactions between humans and AI algorithms, including intelligent agents, decision making under uncertainty algorithms, explainable AI and intuitive interfaces.

Prof. Goldman has worked in the high-tech industry for the last 18 years as a senior and staff researcher in General Motors R&D organization and as a CTO staff researcher and team leader in Samsung Technical Research Center. Previously, Prof. Goldman held research fellowship positions at the University of Haifa, the University of Massachusetts-Amherst (USA) and Bar Ilan University.

Her research focuses on responsible AI applied to human-machine interactions, specifically in the domain of AI for Social Good. During her graduate and postgraduate studies, Prof. Goldman studied how cooperative behaviors among intelligent agents can be computed, under either lack of access to information or uncertainty in the environment. During her tenure in the industry, Goldman’s work expanded to include the human-in-the-loop as in the following examples:

 Recommendation systems: How can we develop an AI system that can recommend its users, which settings to change, to improve the efficiency of the system (for example saving energy consumption)? [IAAI 2014, AAMAS 2014, AI Magazine 2015]  Adaptive systems: How can an AI system learn to change its automated behavior from its users’ preferences and inputs to improve the user experience (for example, by reducing the number of manual interventions required for the interaction)? [ECAI 2016, HAI 2020].  Explainable AI systems: How can an AI system compute automated explanations for users, explaining the AI system behavior?
  •  Smart Manufacturing [Smart Manufacturing, 2020 and Journal of Industrial Information Integration, 2023].
  •  Explaining CNN predictions with semantics [IEEE IV ‘21]
  •  ADAS/Mobility: Explaining planning decisions [IEEE IV 2022, 4th International Conference on Statistics, 2022; AAMAS 2023, ECAI 2024, and two journal papers under revision (2024)].

 

Prof. Goldman earned her Ph.D in Computer Science from the Hebrew University. She holds an M.Sc. and a B.Sc. in Computer Science from the Hebrew University.

Prof. Goldman will be teaching courses that will help students deepen their understanding about AI systems, automated decision-making and human-machine interactions (Human-centered AI, Responsible AI, and AI for Social Good), complementing their studies in Data Science.

Her research has been published in AI related journals and conferences, IEEE journals related to transportation and decision making, and smart manufacturing journals; she also holds 67 patents (21 granted and 46 filed).

Awards & Honors

 

Academic Awards and Scholarships

 1996-1999 Eshkol Fellowship for Doctorate Studies, Israeli Ministry of Science.  1996 Best Paper Nomination, 1st Conference on Practical Applications of Intelligent Agents and Multi-Agent Systems, London, UK, 1996 (invited to Journal of Applied AI, special issue).  1998 Intel-Dean Prize, Hebrew University, Jerusalem, Israel.  2000, 2001 IBM Research Scholarship, Bar Ilan University, Ramat Gan, Israel.  2003 Best Paper Award, 2nd International Joint Conference on Autonomous Agents and Multi-Agent Systems, Melbourne, Australia.  2007 Best Paper Award, 11th International Workshop Cooperative Information Agents, Delft, The Netherlands.

 

Research Grants

 2003 -2006 Air Force Office of Scientific Research (AFOSR), “The Value of Communication in Decentralized Planning and Control” (with Prof. Shlomo Zilberstein), $350K  2014 – 2018 National Science Foundation (NSF), “Computational Models, Interaction Mechanisms, and Planning Algorithms for Semi-Autonomous Systems” (with Prof. Shlomo Zilberstein and Prof. Donald L. Fisher), $1.2M

Industrial Awards

 2013 Popular Mechanics Breakthroughs, General Motors Super Cruise. Popular Mechanics