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Toju Duke
About
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TABLE OF CONTENTS
Biography Highlights
- Author of “Building Responsible AI Algorithms,” offering a framework and practical tips for ethical model development Founder of Diverse AI, supporting underrepresented groups in AI Ex-Program Manager on Responsible AI at Google, specializing in large-scale models and Responsible AI processes Former UK lead for “Women in AI,” promoting global gender diversity in AI
Biography
Meet Toju Duke
With over 18 years experience spanning across Advertising, Retail, Not-For Profit and Tech, Toju is a popular speaker, author, thought leader and advisor on Responsible AI. Toju worked at Google for 10 years where she spent the last couple of years as a Programme Manager on Responsible AI leading various Responsible AI programmes across Google’s product and research teams with a primary focus on large-scale models and Responsible AI processes. Prior to her time on Google’s research organisation, Toju was the EMEA product lead for Google Travel and worked as a specialist across Google Travel and Shopping.
Toju is also the founder of Diverse AI, a community interest organisation with a mission to support and champion underrepresented groups to build a diverse and inclusive AI future. Her passion to improve Artificial Intelligence and representation in the field, led to the birth of Diverse AI which is focused on 3 main activities: Education, Research and Events targeted at people who identify with underrepresented groups and either want to up skill, join the field or have a sense of belonging and community with like-minded people. Toju was previously the UK lead for “Women in AI”, a non-profit global organisation with a mission to drive gender diversity in AI.
Toju’s dedication and commitment to the development and deployment of Responsible AI practices led to the writing of her book “Building Responsible AI Algorithms”. The book introduces a Responsible AI framework and guides readers through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, in order to reduce and mitigate the risks and harms found in AI technologies. The book provides practical tips and guidance on how to develop models that are fair, transparent, safe, secure, robust, and ethical.
Videos
Topics
Building Responsibly in an AI Driven world
Understanding the concept of Responsible AI and how it applies to AI technologies.
Mitigating AI's risks with Responsible AI
A walk-through of the various ways AI impacts humanity both positively and negatively.
Balancing Innovation and Responsibility
Insights into Responsible Generative AI: Insights into generative AI, its pros and cons, and how to develop it using a Responsible AI framework.
Empowering Education:Navigating AI with the Responsible AI Framework
Understanding AI, its history, timeline and how it applies to the education sector with an emphasis on ethical and responsible AI principles.
The AI Paradox: Pros, Cons, and the Dawn of a New Era
AI’s timeline, history and the AI arms race; AI for good, areas where it’s failed and how to mitigate its risks with a Responsible AI framework.
Towards a New Customer Paradigm: Balancing Generative and Responsible AI
A glimpse into AI in the customer experience landscape and how to ensure AI applications remain customer centric.
AI's Promise, Finance's Future: A Blueprint for Responsible AI
AI’s uses, risks and mitigations, with a purview in the financial sector.
Books
Building Responsible AI Algorithms: A Framework for Transparency, Fairness, Safety, Privacy, and Robustness
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