ACM SIGAI

Interview with Mike Lee: Communicating AI decision-making through demonstrations

Lucy Smith 23 Apr 2024

We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.

Interview with Bálint Gyevnár: Creating explanations for AI-based decision-making systems

Lucy Smith 16 Apr 2024

PhD student and AAAI/SIGAI Doctoral Consortium participant tells us about his research.

Interview with Amine Barrak: serverless computing and machine learning

Lucy Smith 26 Mar 2024

PhD student, and AAAI/SIGAI Doctoral Consortium participant, Amine tells us about his research.

Interview with Raffaele Galliera: Deep reinforcement learning for communication networks

Lucy Smith 20 Mar 2024

PhD student, and AAAI/SIGAI Doctoral Consortium participant, Raffaele tells us about his research.

Interview with Aaquib Tabrez: explainability and human-robot interaction

Lucy Smith 14 Mar 2024

PhD student, and AAAI/SIGAI Doctoral Consortium participant, Aaquib tells us about his research so far.

Interview with Célian Ringwald: Natural language processing and knowledge graphs

Lucy Smith 20 Feb 2024

PhD student, and AAAI/SIGAI Doctoral Consortium participant, Célian tells us about his research so far.

Interview with Elizabeth Ondula: Applied reinforcement learning

Lucy Smith 13 Feb 2024

We spoke to Elizabeth Ondula about her work applying reinforcement learning in different domains.

Interview with Fiona Anting Tan: Researching causal relations in text

Lucy Smith 01 Feb 2024

In the second of our series of interviews with AAAI/SIGAI Doctoral Consortium participants, we hear from Fiona Anting Tan, PhD student at the National University of Singapore.

Interview with Changhoon Kim – enhancing the reliability of image generative AI

Lucy Smith 11 Jan 2024

In the first of our series of interviews with AAAI/SIGAI Doctoral Consortium participants, we hear from Changhoon Kim, PhD student at Arizona State University.