Toju Duke speaker

Toju Duke

Responsible AI Advisor, Author, Founder, Ex-Google
  • Author of “Building Responsible AI Algorithms,” offering a framework and practical tips for ethical model developmentFounder of Diverse AI, supporting underrepresented groups in AIEx-Program Manager on Responsible AI at Google, specializing in large-scale models and Responsible AI processesFormer UK lead for “Women in AI,” promoting global gender diversity in AI
  • Expertise: Recognized as one of the top women in AI
  • Key Focus: AI governance, responsible AI, diversity in AI, innovation
  • Credentials: Popular speaker, author, thought leader championing responsible AI across industries
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Toju Duke's 2025 Biography

Toju Duke: Championing Responsible AI, Diversity, and Innovation Across Industries

Recognised as one of the top women in AI, Toju is a popular speaker, author, thought leader , advisor,  and entrepreneur  with over 19 years of experience spanning advertising, retail, non-profit, and tech. Toju worked at Google for 10 years where her last three years as a Responsible AI Programme Manager focused on leading Responsible AI initiatives across Google’s product and research teams, with a 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 the founder and CEO of Bedrock AI,  an AI product and services company dedicated to Responsible AI principles.
Toju is also the founder of Diverse AI, a community interest organization with a mission to support and champion under-represented 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.
Her first book, Building Responsible AI Algorithms, is available for purchase worldwide, and her second book “Responsible AI in Practice” is currently in production. 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. It provides practical tips and guidance on how to develop models that are fair, transparent, safe, secure, robust, and ethical. “Building Responsible AI Algorithms” can be ordered from bookstores across the world. “Building Responsible AI Algorithms has been adopted by several international universities and is currently used as a reading lecture in the University of Pavia, Italy. Toju is in the process of writing her second book which covers regulation, AI governance, risk taxonomies and risk assessment frameworks, a guide on safe and responsible AI using statistical and programming languages, and real-life case studies. She is also leading new novel research that addresses human rights violations associated with AI technologies, working with academia and industry professionals.
Toju provides consultation and advice on Responsible AI practices to organisations interested in developing Responsible AI processes and has been  featured across several national and international media outlets such as the BBC, Sky News, El Pais, La Nacion, La Vanguardia, Sifted etc,. Toju  has been recognised as one of the top women in AI by several media outlets, such as Daily AI, Xantage and the AI Speaker agency. Toju also participates in high level AI policy dialogues and engages in major governmental events.

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Toju Duke's Latest Books

Building Responsible AI Algorithms: A Framework for Transparency, Fairness, Safety, Privacy, and Robustness

This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in artificial intelligence (AI) technologies. AI offers the ability to solve many problems today if implemented correctly and responsibly. This book helps you avoid negative impacts – that in some cases have caused loss of life – and develop models that are fair, transparent, safe, secure, and robust. The approach in this book raises your awareness of the missteps that can lead to negative outcomes in AI technologies and provides a Responsible AI framework to deliver responsible and ethical results in ML. It begins with an examination of the foundational elements of responsibility, principles, and data. Next comes guidance on implementation addressing issues such as fairness, transparency, safety, privacy, and robustness. The book helps you think responsibly while building AI and ML models and guides you through practical steps aimed at delivering responsible ML models, datasets, and products for your end users and customers. What You Will Learn: ● Build AI/ML models using Responsible AI frameworks and processes ● Document information on your datasets and improve data quality ● Measure fairness metrics in ML models ● Identify harms and risks per task and run safety evaluations on ML models ● Create transparent AI/ML models ● Develop Responsible AI principles and organizational guidelines Who This Book Is For: AI and ML practitioners looking for guidance on building models that are fair, transparent, and ethical; those seeking awareness of the missteps that can lead to unintentional bias and harm from their AI algorithms; policy makers planning to craft laws, policies, and regulations that promote fairness and equity in automated algorithms

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