Human memory drives the encoding, storing, and retrieval of our experiences. Artificial intelligence may help us in understanding challenges in memory research and could improve but potentially also hinder memory encoding and retrieval. Experts from Psychology, HCI, and Computer Science will discuss challenges and opportunities on the intersection of AI and Human Memory from a human-centered perspective in this workshop.


Albrecht Schmidt, Antti Oulasvirta, Robin Welsch, Kashyap Todi


Meeting ID: 682 2832 3401
Passcode: 766858

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14:00‑14:10 Welcome and setting the stage by Albrecht Schmidt
Intro to HumaneAI Net and today’s event
14:10‑14:45 Guest talk by Zoya Bylinskii

Research Scientist at Adobe Research

14:45‑14:55 Talk by James Crowley

The Role of Emotion in Concept Formation and Recall when Solving Problems

14:55‑15:05 Talk by Robin Welsch

Understanding autobiographical memory  in Virtual Reality

15:05‑15:15 Talk by Catharine Oertel

Memory Aware Conversational AI to Aid Virtual Team-Meetings

15:15‑15:25 Talk by Aurelien Nioche

Improving Artificial Teachers by Considering How People Learn and Forget

15:25‑15:55 Panel discussion
15:55‑16:00 Closing

Meet the Speakers and Moderators

Zoya Bylinskii, Adobe Research
Zoya Bylinskii, Adobe Research

Albrecht Schmidt, LMU Munich
Albrecht Schmidt, LMU Munich

Antti Oulasvirta, Aalto University
Antti Oulasvirta, Aalto University

Robin Welsch, LMU Munich
Robin Welsch, LMU Munich

Kashyap Todi, Aalto University
Kashyap Todi, Aalto University

James Crowley, Institut Polytechnique de Grenoble

Catherine Oertel, TU Delft
Catherine Oertel, TU Delft

Aurelien Nioche, Aalto University
Aurelien Nioche, Aalto University


The Humane AI Net project funded by the European Union Horizon 2020 program aims to bring together the European AI community to develop the scientific foundations and technological breakthroughs needed to shape the AI revolution in a direction that is beneficial to humans both individually and societally, and that adheres to European ethical values and social, cultural, legal, and political norms. Key specific questions that the project addresses are:

  • AI systems that „understand” humans,
  • AI systems that can interact in complex social settings
  • AI systems that enhance  human capabilities
  • AI systems that empower both individuals and society as a whole carefully balancing individual benefits and social impact of their functionality
  • AI systems that respect human autonomy and self-determination
  • Ethics and Legal Protection “by design” in complex dynamic AI systems