Linas QUB

AI, ETHICS & THE HUMAN

The Leverhulme Interdisciplinary Network on Algorithmic Solutions (LINAS) Conference

The LINAS conference on ‘AI, Ethics and the Human’ is taking place Queen's University Belfast on 10th May 2023.


Keynote Speaker : Professor Matthias Leese, ETH Zurich


This is a student-led conference that is primarily aimed at PhD and early career researchers, with presentations from a range of disciplines covering the following topics

• Data quality

• Legal regulation of AI

• Algorithmic accountability

• Fairness in algorithmic systems

• Privacy, security and surveillance

• Science, governability and digital society

• AI, social justice and public decision-making




LINAS wishes to thank Professor Matthias Leese for his appearance as keynote speaker at this years conference

Matthias Leese is Assistant Professor for Technology and Governance at the Department of Humanities, Social and Political Sciences, ETH Zurich. His research is interested in the effects of digital technologies on social order. It pays specific attention to security organisations and their rationales and practices that are co-constituted between the technological and the social.

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AI, Ethics and the Human

Artificial intelligence (AI) is permeating our daily lives: it extends to our socialisation with others, our job applications and even our healthcare. These algorithmic decision-making processes are increasingly far-reaching, and yet many remain unaware of their extent as they operate in the background of our lives. The LINAS conference seeks to discuss both this ubiquity and invisibility. Our main objective is to motivate and encourage researchers to consider and explore these AI-driven, human-technology interactions across a broad range of fields, including education, medicine, the home, borders, and wider society.


This conference is interdisciplinary in nature. Within the social sciences, questions arise about these algorithmic systems: what does this mean for human agency? How are we to understand accountability without transparency in the face of ‘black box’ algorithms? And what does this mean for human rights law? Within science and engineering similar questions are posed: how can we design fair algorithmic solutions? And how can we work transparently? We want to bring together legal scholars, social scientists, physicists, mathematicians, computer scientists and engineers to collaborate on these urgent issues.


Our conference aims to attract papers that address the ethical or societal implications of AI and machine learning, particularly those exploring the interactions between humans and technology. How is technology changing what it means to be ‘human’?


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Conference Schedule

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9 - 9:30

9:30 - 10:30

10:30 - 10:45

10:45 - 11:30

11:30 - 12:30

12:30 - 1:30

1:30 - 3:00

3:00 - 3:15

3:15 - 4:15

4:15 - 4:30



Registration/Welcome

Panel 1 Surveillance & Security

Tea & Coffee

LINAS Forum

Panel 2 Robotics & Automation

Lunch

Panel 3 AI in Society

Tea & Coffee

Keynote Matthias Leese

Close



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What is LINAS?

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Interdisciplinary

LINAS researchers encompass Law, Computer Science, Mathematics & Physics, History, Anthropology, Philosophy & Politics & Social Sciences.

Focused on emerging Tech

LINAS seeks to address the implications of massive-scale data processing, artificial intelligence (AI) and machine learning (ML)

Society Focused

Our focus is on exploring the actual operation of algorithmically driven public decision-making in wider society, and within science and engineering