Anjali Mazumder

Dr Anjali Mazumder (Fellow at Alan Turing Institute) is an interdisciplinary research leader with over 15 years’ experience tackling fundamental data problems of societal importance – in justice, law, health, education, labour, defence and security, humanitarian sectors – working at the intersection of research, policy and practice in the UK, the US, and Canada, forging multi-disciplinary and cross-sector collaborations. Her work is at the intersection of data, AI and emerging technologies, and law with a focus on designing, developing and evaluating socio-technical interventions placing rights, accountability, safety and participation at the core of responsible data and AI research, innovation, practice and governance. She has delivered and informed on national and institutional research programmes and institutional and national agendas. She was ministerially appointed (2012-2018) to serve on the Canadian national committee to advise on responsible data collection and use of DNA. She advises on national and international research projects and agendas and organisational boards relating to responsible AI. She has been elected to and serves her academic, professional and institutional communities in a number of ways to improve and enable responsible data/AI, equity, safety and participation in scientific development.

Talk Title

Operationalising Responsible AI by Design: Tensions, Barriers and Opportunities

Talk Summary

AI underpins many other technologies and has proliferated society, changing the way people interact with systems and informing our understanding of the science, society and the world. This has resulted in complex systems becoming fervent fabric of society. Operationalising Responsible AI in practice requires a design first approach to enable inclusive and meaningful participation of stakeholders, fair[-er] outcomes, value-centred and rights alignment, and safe and secure systems. A “by design” approach throughout technology lifecycles provides an opportunity to further enable trust, and illuminate the complex interaction of data-people-model-processes-infrastructure. This talk will use case studies from research and practice to highlight tensions, barriers and opportunities for interdisciplinary research for responsible AI by design.

This is event is a part of “Responsible AI Lecture” series co-organised by I-X and Dyson School of Design Engineering, and chaired by Professor Rafael Calvo.