Discover how AI can be used responsibly to fight societal injustice and mitigate human bias. Exploring the researched bias within AI, and the opportunities and threats of AI within the gender and ethnicity pay gap space.
In this conversation, Maya and Shweta will share insights into AI, explore behavioural biases that humans possess, and uncover how this bias is being encoded into algorithms. They will demonstrate the influence that this can have within organisations and society, and practical ways to that you can implement impactful change.
AI can provide tremendous opportunities for organisations and society, but there are many threats to consider. As organisations look for diversity of talent, how can you harness the benefits of AI to attract and retain people? Embracing identity and authenticity to bring out the best in your people and organisations.
About the speakers
Maya Welford is a multi-award-winning professional, currently working as a Behavioural Finance Specialist at a global bank. Maya completed her Psychology degree at King’s College London in 2018, and also holds a degree in MSc Corporate Responsibility & Sustainability. Maya is an advocate for diversity, equity, inclusion both within the workplace and more broadly within society. Maya is also a Coach, where she empowers others to achieve their ambitions, and podcast host and founder of ‘That’s My Name’. In 2018, Maya completed her dissertation project for her MSc which investigated the impacts of artificial intelligence on gender and ethnicity pay gaps. Maya enjoys working at the intersection between Psychology, Behavioural Science and Data Science.
Shweta Singh is an Assistant Professor of Information Systems and Management at the Warwick Business School, University of Warwick. Furthermore, she is a Behavioural Data Science researcher at The Alan Turing Institute, London, United Kingdom. She received her Ph.D. in Information and Decision Sciences from the Carlson School of Management at the University of Minnesota, Twin Cities, United States. Her primary research interest lies in Artificial Intelligence(AI), Behavioural Data Science and exploring value creation through Information Technology. Her AI research involves designing next generation AI, which includes mitigating AI bias, designing Explainable AI (XAI), responsible AI and fighting Societal Injustice through AI. Her research has won the Doctoral Dissertation Fellowship and the McNamara fellowship from the University of Minnesota, Twin Cities. She has also been selected as the finalist for the 2019 British Indian Awards, Science and Technology Professional of the Year, Nominated for the 2022 Warwick Awards for Personal Tutoring Excellence, Shortlisted as the Top 10 individuals in the entire UK for Education & Academia, Rising Star Awards, 2022 and also Shortlisted as one of the Top 5 Women in Tech for Good Award, 2022.