Artificial Intelligence-Powered Business Tech: Putting Checks in Place
In HRchat episode 514, we delve into what constitutes robust AI management, how we can be more ethical with our use of AI-powered recruitment tech, and ask: is it enough to audit recruitment algorithms for bias?
My guest this time is Emre Kazim, co-founder of Holistic AI, a company helping businesses to adopt and scale AI with confidence. Emre he holds a PhD in Computer Science and is a Research Fellow in Computer Science at University College London.
Holistic AI is focused on providing a Platform-as-a-Service solution to organizations that want to harness AI ethically & safely. It services many large and medium-sized organizations on their journey to adopting AI, ensuring due risk management, and compliance with the changing regulatory & standards environment.
One of their key services is to help HR deal with NYC Bias Audit legislation that is taking into force January 2023.
I was super impressed by the mission of Holistic AI and Emre’s passion for the mission of the UK-based firm. I hope you enjoy the conversation with Emre!
Questions For Emre Include:
- Tell us about the mission of Hollistic AI and the idea of ‘trustworthiness in context’ and different levels of assurance based on the industry.
- How can companies using AI in HR ensure they are managing risks and being compliant with emerging regulations?
- New York City passed legislation that goes into effect on 1 January 2023, mandating bias audits of automated employment decision tools. Meanwhile, California has proposed amendments to existing legislation and introduced new legislation to regulate the use of AI in the workplace. What is the NYC Local Law 144 bias audit mandate?
- What other upcoming legislation affects HR technology?
- Where else do you see AI audit playing a role in AI HR solutions?
About Emre Kazim
Dr. Emre Kazim is the co-founder and COO of Holistic AI, a start-up focusing on software for auditing and risk management of AI systems. He is also a Research Fellow in Computer Science at University College London. His research interests include algorithmic assessment, the impact of new digital technologies on the structures of the state and informed policymaking.
He has a track record of interdisciplinary and knowledge exchange through community and consortia building. Furthermore, Dr Emre Kazim has been facilitating conversations around pressing ethical challenges arising from the increasing adoption of algorithmic decision systems. His focus has been on Governance, Policy and Auditing of AI systems, including Algorithm Interpretability and Certification.