AI, Ain't I a Woman?" Exploring AI Bias: Learning Lunch

LegalTech in Leeds Learning Lunch, in partnership with ULaw

Join us for an exciting online event, the LegalTech in Leeds Learning Lunch, in partnership with ULaw. This is your chance to delve into the world of legal technology and discover how it's transforming the legal industry.

Whether you're a legal professional, a tech enthusiast, or simply curious about the latest innovations, this event is perfect for you. We've gathered top experts in the field to share their insights and knowledge.

During this interactive learning lunch, you'll have the opportunity to network with like-minded individuals, ask questions, and gain valuable knowledge about the latest LegalTech trends.

Don't miss out on this incredible opportunity to expand your legal and technological horizons.

Join us for the LegalTech in Leeds Learning Lunch and be part of the LegalTech revolution!

Guest Speaker: Dr Emily Roach, Senior Lecturer in Law, The University of Law

Dr Emily Roach is a Senior Lecturer in Law at The University of Law. Emily worked at international law firms in the City for over twelve years, specialising in distressed debt, structured finance and restructuring, before leaving private practice to undertake a PhD and pursue a career in Higher Education.

Emily's interdisciplinary research works at the intersections of law, technology, arts and culture. Emily has published academic articles on the impact of technology and social media on LGBT online communities of creative practice and Emily is in the process of developing a course on AI bias with colleagues from The University of Law.

Topic: "AI, Ain't I a Woman?" Exploring AI Bias

This session will explore gender, racial and other forms of bias which have been identified by researchers working with artificial intelligence.

Together with exploring the ways AI can be used to 'level the playing field', this session will also highlight how AI bias can exacerbate existing inequalities when it is used to undertake certain tasks.

This is an excellent opportunity to learn about bias and participate in wider conversation around ethical best practice which centres the impact of AI on marginalised groups when integrating and developing AI.

‍