Workshop CFA: Binary Morality: New Perspectives on AI Ethics
steven gouveia
CALL FOR ABSTRACTS
Binary Morality:
New Perspectives on AI Ethics
Participation: Online and in-person.
Fee: free.
Date: 10th of May 2024
Venue: University of Hradec Králové, Philosophical Faculty Conference room SM4
Abstract submission deadline: 10th of April 2024
Notification of acceptance: 22nd of April 2024
Send your abstracts (and any questions) to:
Confirmed Speakers:
Steven S. Gouveia Ph.D. (University of Porto)
Tomáš Hřibek Ph.D. (Institute of Philosophy AS CR)
Ondřej Krása Ph.D. (University of Pardubice)
With the increasing ability of Artificial Intelligence (AI) and artificial agents, like large language models, the topic of AI safety is entering the public consciousness. As the capabilities of these systems improve, it is becoming clear that AI systems will have an impact on every aspect of our lives. Therefore, we should carefully consider how we will integrate these systems into our everyday dealings. Several theorists within the field of AI safety argue that what we face is an alignment problem, where we may develop artificial agents with motivations that are misaligned with our own. Among the concerns related to issues of AI safety, there is the possibility of existential risk presented by self-improving artificial agents. As AI may be the last human invention, we should think carefully about all the scientific, political, ethical, legal, and philosophical aspects that surround it. This workshop aims to explore whether we can formulate ethical standards that these systems should follow and how exactly we should integrate them into society. For that purpose, we seek to explore new perspectives on the issues that AI and related technologies generate. This workshop is primarily aimed at postgraduate students, but postdocs and more senior academics are also welcome.
Topics and issues of interest include (but are not limited to):
Programming Machine Ethics
Artificial Intelligence, Robots, and Unemployment
Political, legal and ethical consequences and consideration of non-human artificial agents
Politics of AI, AI Governance
Bias and Fairness in AI
Transparency and Explainability of AI systems
The Ethics of Big Data: The Right to be Forgotten and Data Privacy.
Theoretical Foundations of Computer Ethics
Embodied, Enactive, Extended and Embedded approaches to AI ethics
Artificial General Intelligence and Friendly AI
Existential Risk and Superintelligent AI
Enhancement technologies, Transhumanism and AI
Please send your abstract in a file (preferably .docx word format) prepared for anonymous review. Your original abstract should be 150 to 250 words (bibliography excluded), written in English. Send a separate file containing your name, paper title, institutional affiliation, and position alongside your abstract. We accept submissions for physical and online talks.