Toju Duke

Toju Duke

Pioneering Responsible AI Executive, Author & Founder of Diverse AI

Core Intelligence Domain: Responsible AI & Tech Ethics
Location: London, United Kingdom | Languages: English
Representation: Represented globally by PSpeakers Global Intelligence

Toju Duke is a globally recognised Artificial Intelligence strategist, leading the discourse on Responsible AI, corporate governance, and algorithmic equity. Drawing upon nearly a decade of high-impact tenure at Google, where she spearheaded global Responsible AI programmes, Toju provides C-suite executives and boardrooms with the critical foresight needed to navigate the complexities of machine learning deployment. As the author of the seminal text Building Responsible AI Algorithms and the founder of Diverse AI, she architects proprietary frameworks that harmonise technological innovation with ethical accountability, ensuring that enterprise AI scaling is both commercially viable and socially equitable.

Executive Leadership & Industry Impact

Throughout her distinguished career, Toju has been at the forefront of defining how global enterprises integrate ethical considerations into product development. During her extensive tenure as a Programme Manager at Google, she played a pivotal role in operationalising Responsible AI principles across large-scale commercial products. Her mandate involved designing evaluation frameworks to mitigate algorithmic bias, enhancing model transparency, and establishing rigorous governance protocols that align with emerging international regulatory standards.

Recognising the urgent need for structural inclusivity within the technology sector, Toju founded Diverse AI, a pioneering organisation dedicated to supporting underrepresented groups in the Artificial Intelligence field. Through this initiative, she champions the democratisation of AI knowledge and advocates for diverse datasets and development teams, arguing that true technological advancement is inextricably linked to cognitive diversity.

Her authoritative publication, Building Responsible AI Algorithms (O’Reilly Media), serves as a definitive roadmap for technologists and business leaders alike. The book introduces actionable methodologies for embedding fairness, privacy, and safety into the AI lifecycle, cementing Toju’s position as a leading global authority on tech ethics.

Strategic Speaking Themes & Masterclasses

Toju Duke delivers highly tailored, strategic keynote presentations that equip organisations with the frameworks necessary to lead in the AI era. Her core speaking topics include:

• The Blueprint for Responsible AI: Strategies for embedding ethical governance, fairness, and transparency into the core of enterprise AI deployment.
• Navigating AI Regulation and Compliance: A strategic overview of the evolving global regulatory landscape, including the EU AI Act, and how boards can future-proof their technological investments.
• Algorithmic Bias and Mitigation: Proprietary frameworks for identifying, measuring, and eliminating bias in machine learning models to ensure equitable outcomes and brand protection.
• The Commercial Imperative of Diversity in Tech: How inclusive teams and diverse datasets directly correlate with superior product innovation and market competitiveness.
• From Principle to Practice: Translating high-level AI ethics principles into actionable, operational reality for product, engineering, and compliance teams.
• The Future of Human-Centric Generative AI: Understanding the long-term societal and business impacts of Generative AI, and how leaders can champion technologies that augment human potential securely.

Key Takeaways

• Strategic Foresight: Gain actionable insights into the future trajectory of AI regulation and ethical governance to protect brand reputation and ensure rigorous compliance.
• Operational Frameworks: Access proven methodologies, developed through years of executive leadership at Google, to operationalise Responsible AI within your enterprise ecosystem.
• Inclusive Innovation: Understand the critical role of diversity in mitigating algorithmic bias and building robust AI products that serve a global user base effectively.
• Competitive Advantage: Learn how integrating ethical AI practices directly drives long-term commercial success, stakeholder trust, and sustainable technological innovation.