Events Calendar

Seminar: Responsible and User-Controllable Artificial Intelligence

Speaker: Przemysław (Przemek) Kazienko, Full Professor, Wroclaw University of Science and Technology

Talk Title: Responsible and User-Controllable Artificial Intelligence

Abstract: AI has a major positive impact on the economy and their users, providing them with a better experience, increased satisfaction, saving time and even expanding their horizons. Here, however, we focus on the potential negative impact of AI on humans, such as reinforcement of information bubbles, addiction, excessive use, reduced concentration, creativity and curiosity, enhanced consumerism, weakened autonomy to make free choices, interpersonal communication, and human relationships. We indicate what human features cause our increased susceptibility to the influence of RSs and what manipulation mechanisms they can potentially and even unintentionally exploit. We show some use cases in which the goals pursued by business may conflict with the goals of their users. it is also observable that AI-based approaches are evolving from decision-support to decision-making systems. Consequently, we propose the concept of Responsible AI, which respects the goals and beliefs of their users in addition to business goals. Another solution are user-controllable AI systems that may be incorporated in recently investigated Large Language Models (LLMs).

Biography: Przemysław (Przemek) Kazienko, Ph.D. is a full professor and leader of three research groups: AI and human values, HumaNLP, and Emognition at Wroclaw Tech (Wroclaw University of Science and Technology), Poland. Research carried out by HumaNLP refer to human aspects of NLP, including subjectivity, personalization, context-based NLP, hate speech, emotions, user-controlled LLMs, etc. The Emognition group focuses on emotion recognition from physiological signals. He has authored over 300 research papers, including 50 in journals with impact factor related to personalization and subjective tasks in NLP, Large Language Models (LLMs), self-learning LLMs, ethics and responsibility in AI, affective computing and emotion recognition, social/complex network analysis, deep machine learning, sentiment analysis, collaborative systems, recommender systems, information retrieval, data security, and many others. He gave 30+ keynote/invited talks to international audiences and served as a co-chair of over 20 international scientific conferences and workshops. Also, he initialized and led over 50 projects, including large European ones, chiefly in cooperation with companies with total local budget over €10M. He is an IEEE Senior Member, a member of the Polish Committee for Standardization in AI, and the Ethics Committee for the LLM development.

Host: Shrikanth Narayanan, shri@usc.edu | Kleanthis Avramidis, avramidi@usc.edu

Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248

Audiences: Everyone Is Invited

Contact: Miki Arlen