Program

09:30 – 10:00	Registration & Breakfast South Mezzanine
10:00 – 10:30	Welcome to Event Lecture Theater 2
10:30 – 11:30	Keynote: Living with AI Speaker: Prof. Sandra Wachter Show Abstract Abstract: AI is here, AI is here to stay. Every aspect of our lives is touched by AI. Algorithms rank our search results and news feeds, route our cars and determine the prices we have to pay. AI decides who gets hired, fired or promoted, who is admitted to university, who is granted a loan or insurance and who has to go to prison. While there are a wide range of advantages such as cutting costs and streamlining procedures, there are also many ethical and legal challenges. Artificial intelligence is often a black box and we do not know how it makes decisions. Algorithms are also known to be biased against women, people of colour, and members of the LGBTQ* community. AI can convincingly create fake images (Deepfakes), videos, and text that looks very convincing, but these outputs are often just fabricated falsehoods which can lead to misinformation, fake news and an erosion of trust in political discourse. How should we deal with these new challenges? Can the law do something about it? I will explore these and other important ethical issues and shed light on what can be done about it from an ethical, legal and technical perspective. Lecture Theater 2
11:30 – 11:50	Poster Flashtalks - Part 1 Lecture Theater 2
11:50 – 12:10	Coffee Break South Mezzanine
12:10 – 13:10	Oral Session 1: AI for Social Good Chair: Xiaxia Wang Explaining CLIP’s Performance Disparities on Data from Blind/Low Vision Users Speaker: Agnieszka Slowik Poetic Translation with AI Speaker: Hope McGovern Global AI-Powered School Connectivity Prediction with Earth Observation Speaker: Kelsey Doerksen Big Data and Machine Learning to Characterise Cardiac Health in Type 2 Diabetes in the UK Biobank Speaker: Ambre Bertrand Lecture Theater 2
13:10 – 14:10	Lunch Break South Mezzanine
14:10 – 15:10	Conference Panel: Impostor Syndrome Chair: Madeleine Wyburd Participants: Hoda Kalabizadeh (DPhil Student), Dr. Silvia Butti (Postdoctoral Researcher), Dr. Sepideh Chakaveh (Faculty Member), Dr. Linde Hesse (QuantCo), Hannah Richarson (Microsoft) Topic: We know imposter syndrome disproportionately affects minorities, but what can we do about it? In this panel session, we will discuss with five computer scientists at different stages of their career, what tips and tricks they have picked up for overcoming imposter syndrome. Lecture Theater 2
15:10 – 15:30	Poster Flashtalks - Part 2 Lecture Theater 2
15:30 – 15:50	Coffee Break South Mezzanine
15:30 – 16:45	Poster Session & Sponsors 1:1 South Mezzanine
16:45 – 17:45	Oral Session 2: AI for Technology Advance Chair: Allison Clement Simplifying Data Visualization: Using Large Language Models for Converting Text to Visuals Speaker: Sherry Zhou Machine learning for hand X-ray scoring of Rheumatoid Arthritis Speaker: Zhiyan Bo Neural Processes for Short-Term Forecasting of Weather Attributes Speaker: Benedetta Mussati Connections between Algorithmic Fairness, Complexity, and Learning Speaker: Sílvia Casacuberta Lecture Theater 2
17:45 – 18:00	Closing Ceremony Lecture Theater 2
18:00 – 21:00	Drink Reception & Formal Dinner St. Cross College