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When Cyber Security Meets AI Ethics: What human society will be like by 2030? 
Harmonie Toros (University of Kent)
Shujun Li (University of Kent)
Aylish Wood (University of Kent)
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Wednesday 8 June, -
Time zone: Europe/London

Short Abstract:

A group of experts from multiple disciplines and different sectors will discuss long-term impacts of cyber security and AI ethics, and predict how the future human society will look like in 2030, depending on how well or how badly we address today’s socio-technical challenges.

Long Abstract:

The panel discussion will gather a group of experts from different disciplines (computer science, engineering and physical sciences, anthropology, sociology, arts and humanities), and different sectors (academia, industry and public sector) who have research interests in cyber security and AI ethics to discuss the evolution of future human society depending on how we address today’s socio-technical challenges on cyber security and AI ethics. The panel’s discussants will be asked to express their views on two aspects of the relationship between cyber security and AI, i.e., AI for cyber security and security of AI, and impact of malicious use and misuse of AI. They will also be asked to envisage the future human society in 2030 depending on how we address a broad range of challenges around AI ethics, e.g., moral and legal responsibility, social justice, transparency, equality, fairness, job security, and economic growth. The discussion will be contextualised using emerging new trends of cyber security and AI research and innovation, such as deepfake, adversarial AI, deceptive and misuse of AI, and increasing use of AI and cyber security techniques for military purposes. Discussants will be asked to comment on current movements on making AI and cyber security more ethical, and what can be done to address those research ethics-related challenges. The panel aims at inspiring the audience to think about long-term impacts of cyber security and AI for future human society, and to stimulate more cross-disciplinary and cross-sectoral collaborations.

Accepted papers:

Session 1 Wednesday 8 June, 2022, -