26 Apr 2022

The techUK Podcast: Let's get practical - steps to improve trust in AI

In this episode of the techUK podcast we explore industry approaches to AI trustworthiness and what practical steps could increase public trust and confidence over time.

 

AI technologies have the potential to drive economic growth, help improve many of the services we interact with daily and even contribute to solving some of the most complex social and environmental challenges facing the modern world. Yet, a recent global poll found that people around the world are highly sceptical of AI use - in Great Britain and the US only 35% said they trust a company using AI as much as they trust a company which does not, with similar low figures in countries such as France, Canada, Japan and the Netherlands.

The conversation about how to increase trust in AI often focuses on ‘educating’ the public, but in this podcast we instead focus on the practical steps companies are taking to make sure their AI is worthy of the public’s trust. We look to discover what the sources of mistrust are and, at least as importantly, what experts think the prospects are of overcoming them in the near future.

Speaker bios

Yoav Schlesinger, Principal of Ethical AI Practice, Salesforce

Yoav Schlesinger is Principal of Ethical AI Practice in the Office of Ethical and Humane Use of Technology at Salesforce, where he helps the company embed and instantiate ethical product practices to maximize the societal benefits of AI.  Prior to coming to Salesforce, Yoav was a founding member of the Tech and Society Solutions Lab at Omidyar Network, where he led the Responsible Computer Science Challenge and helped develop EthicalOS, a risk mitigation toolkit for product managers. Before that, he had a career as a leader and two-time founder of mission-driven, nonprofit organizations. He graduated from Stanford University with degrees in Religious Studies and Political Science and Honors in International Security Studies.

Lofred Madzou, Director of Strategy and Business Development, Truera

Lofred Madzou is an expert on AI governance. Currently, he’s the Director of Strategy and Business Development at Truera – an AI Quality platform to explain, debug and monitor machine learning models, leading to higher quality and trustworthiness. He’s also a researcher at the Oxford Internet Institute where he focuses on the governance of AI systems through audit processes.

Before, he was an AI Lead at the World Economic Forum where he supported leading companies, across industries and jurisdictions, in their implementation of responsible AI practices as well as advised various EU and Asia-Pacific governments on AI regulation.

Previously, he was a policy officer at the French Digital Council, where I advised the French Government on AI policy. Most notably, I co-wrote chapter 5 of the French AI National Strategy, entitled "What Ethics for AI?".

Craig Rhodes, EMEA Industry Lead AI for Healthcare and Life Science, NVIDIA

Craig Rhodes is the EMEA healthcare and life science industry lead at NVIDIA. He works with leading clinical and research organizations to support the delivery of AI to improve clinical pathways and patient outcomes.

Craig has over 15 years of experience in the healthcare industry, having previously worked at Draeger Medical, Map of Medicine, and Oracle. He joined NVIDIA from Intel, where he served as the principal healthcare consultant for the Healthcare Sciences Global Business Unit.

Chris Anagnostopoulos, Senior Principal Data Scientist, QuantumBlack McKinsey

Chris is a Senior Expert / Associate Partner at QuantumBlack McKinsey. He is singularly motivated by the belief that safe adoption of AI/ML in the Life Sciences can drastically accelerate scientific discovery. He leads large hybrid teams of machine learning engineers, data scientists, clinical and biopharma experts and biostatisticians. He maintains an Honorary Associate Professorship at Imperial College London, where he teaches Ethical AI and Data Science. He previously served in the tech industry as head of R&D. 

 

 

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