Workshop AI and Equality Event
- Time:
- Date:
- 2026-04-15 12:27:00 2026-04-16 14:47:00
- Venue:
Event details
Artificial Intelligence (AI) technologies have rapidly become embedded across a wide range of social, economic and political contexts. These systems are increasingly relied upon to help make decisions that have far-reaching impacts on individuals and communities. This includes predictive algorithms used in policing and healthcare, to the automation of immigration welfare systems, and governance of workplaces through algorithmic management systems. In addition to supposed efficiency and productivity gains, these tools are sometimes claimed to help identify and eradicate bias and inequality. Often, however, they have the effect of replicating and even exacerbating social inequalities. Against this background, the Research Centre for Law and Technology and Stefan Cross Centre for Women, Equality and Law at the 九色视频 invite critical reflections on the equality impacts of AI, alongside assessments of current and emerging legal and regulatory responses to address these harms. This one-day workshop will bring together scholars and practitioners from across disciplines to interrogate algorithmic biases and consider frameworks and strategies to build more inclusive, rights-based, and participatory AI systems.
15th April 2026
Women, Equality and AI聽(panel A)
- Gabriel Bayarri, Rey Juan Carlos University (Madrid): 鈥淧unitive Laughter, Algorithmic Bias: How AI-Mediated Humour Produces Gendered Inequalities, and What Law Can Do (remote due to change in travel plans)鈥
- Anastasia Karagianni, Vrije Universiteit Brussel: 鈥淕ender as a risk factor under the risk classification system of the AI Act鈥
AI & Discrimination
- Tetyana Krupiy, Newcastle University: 鈥淎lgorithmic repackaging of harm: the role of the prohibition of discrimination in prohibiting harmful price discrimination 鈥
- Rachel Humphris & Nika Manic, Queen Mary University of London: 鈥淒atafied Deservingness: Bordering from within the welfare/workfare state 鈥
- Holli Sargeant, University of Cambridge: 鈥淓ncoding Equality: The Incompatibility of Algorithmic Logic and Substantive Law鈥
AI as a Solution to Inequality
- Fabian L眉tz, Universit茅 de Lausanne: 鈥淐onstitutional AI? By design approaches as complements to legal frameworks to ensure gender equality and reduce algorithmic discrimination鈥
- Neethi Shikha, University of the West of England: 鈥淕enerative AI, Equality, and Legal Education: Using Pedagogical Design to Level the Learning Field鈥
- Eu Sun Godwin, University of Wolverhampton: 鈥淓pistemic injustice in Artificial Intelligence for Disabled People: from Human Right perspective鈥
- Vanessa Ho, Queen Mary University London:聽"Equality data practices in British universities: implications of technology"
16th April 2026
Women, Equality & AI (panel B)
- Martina Gandolfi, University of Milan: 鈥淕ender Equality in the Age of New Technologies and AI: Criminal Law Responses to Cyber Gender-Based Violence in Europe鈥
- Maria Tzanou & Tsachi Keren-Paz, University of Sheffield: 鈥淔emtech wearables and embodied harms: a new regulatory approach鈥
- Monique Munarini, University of Pisa: 鈥淎ssessing reliable AI: Incorporating an equity approach to accountability tools from a feminist and decolonial perspective鈥
Labour Market Inequality
- Elisa Parodi, Department of Law of the University of Torino (Italia): 鈥淎utomated job advertising, anti-discrimination law and the risk of co-producing algorithmic bias鈥
- Matteo Avogaro, Universitat Autonoma de Barcelona: 鈥淔air AI-Based Recruitment: a Policy-Oriented Assessment of Recent EU Legal Responses to Algorithmic Bias鈥
- Miriam Kullman, Utrecht University: 鈥淥pportunities and challenges for gender equality in labour markets transformed by artificial intelligence (AI) and platform work鈥
If you are interested in attending this workshop, please enquire about this event .