Digital Trust and Security seminar: Prof Marija Slavkovik

This event invites participants from all disciplines and backgrounds to come together, fostering interdisciplinary connections and discussions.

Location: Christabel Pankhurst Building, Dover Street, Manchester M13 9PS - Emmeline Suite

Talk Title: Autonomous Machines as Moral Arbiters

Artificial Intelligence has enabled the automation of cognitive tasks. The more able autonomous machines are, and the more they share the same environment as us, the more they need to be enabled to have moral abilities: moral judgment, moral reasoning and moral decision-making. In the last 25 years, the field of machine ethics has been concerned with developing these machine abilities. Machine ethics requires knowledge from moral philosophy, moral psychology, artificial intelligence, human-computer interaction, computer science and autonomous systems. What kind of a moral agent should machines be and whose idea of morality should they implement? This talk presents a broad, multi-disciplinary, description of advancements, challenges and open questions in machine ethics.

Speaker Biography:

Marija Slavkovik is a full Professor with the Faculty for Social Sciences of the University of Bergen. She is currently a Leverhulme Visiting Professor. with the Autonomy and Verification Group (Uni.Manchester). Her background is in computer science and artificial intelligence. She has been doing research in machine ethics since 2012. Marija works on formalising ethical collective decision-making. She has held held several seminars, tutorials and graduate courses on AI ethics. Her publications and other activities can be found below:

• https://slavkovik.com/
• https://orcid.org/0000-0003-2548-8623

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The Centre for Digital Trust and Society organises the DTS Guest Seminar Series and is a focal point for research across the University of Manchester that explores aspects of trust and security in our digital world. The Centre is part of Digital Futures, a highly interdisciplinary network which operates across the whole range of the University of Manchester's digital research.

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