Brain-based and Artificial Intelligence: Socio-ethical Conversations in Computing and Neurotechnology

This workshop seeks to explore the convergences and disparities in approaches to intelligence in neuroscience and computer science. It will reflect on how brain-based intelligence is similar to artificial intelligence and also how both can be combined in neurotechnology. Based on this, the workshop will explore the ethical and social implications that arise in AI and neurotechnology. We are using the term ‘brain-based’ intelligence to encompass both human and non-human animal intelligence. The workshop aims to advance an interdisciplinary discussion between scientists, practitioners, and scholars around these questions.

Invited speakers:

• Maria Gini, Department of Computer Science and Engineering, University of Minnesota 
• Mark Coeckelbergh, Department of Philosophy, University of Vienna 
• Mikhail Lebedev, Center for Neuroengineering, Duke University

Topics for presentations may include but are not limited to:

• Finding a Common Language: Psychology, Neuroscience, and AI 
• Understanding Intelligence: The Physiological and the Mechanical 
• Ethics of Anthropomorphic Design and Processes in AI 
• Ethical and Social Implications of AI and Neurotechnology 
• Rights in AI and Neurotechnology: Policies, Regulations and Legislation 
• Similarities and Differences of Ethics in AI and Neuroscience 
• Science-fiction: Friend or Foe? Merging of Brains and AI Technology Brain-Computer Interfaces Hybrid Intelligence