Laetitia Cailleteau
Profile Summary
Laetitia Cailleteau leads Accenture's Responsible AI practice in EAMA, bringing 25 years of consulting experience and a history of leadership roles in Conversational AI and Data & AI at both global and European levels.
As a change maker, Laetitia empowers companies to ethically leverage technology and human ingenuity. She has a strong track record of delivering responsible value through Data & AI, with expertise in Digital Transformation, Human-Centered Innovation, Data-Led Reinvention, AI, and Ethics.
In 2018, Laetitia was appointed by the European Commission as a reserve member of the AI High-Level Group of Experts. She also contributes to the Joint Technical Committee on AI at CEN/CENELEC through Afnor. An accomplished author and innovator, she has published academic works and holds patents in Conversational AI and Responsible AI. Recently, she was appointed to the World Economic Forum for the 2025-26 term, serving on the MINDS Impact Council and the Good Governance Council.
A sought-after international speaker and multiple award recipient, Laetitia has been recognized as one of the Top 65 Most Influential AI Women (2023), Top 75 Innovators (2023), Most Powerful Women in Technology (2022), and one of the 10 Most Influential Women in Technology (2020).
Session Description
The Business Case for Responsible and Accountable Data and AI
Implementing AI in business can drive significant improvements in efficiency, productivity, and innovation. AI tools can automate repetitive tasks, enhance data analysis, and optimise decision-making, leading to reduced operational costs and faster time-to-market for products and services. Implementing ethical standards and responsible AI practices when introducing AI tools, systems, and solutions into businesses is essential for fostering trust, ensuring compliance, and promoting long-term sustainability. Ethical AI practices help mitigate risks related to bias, discrimination, and privacy violations, which can harm both individuals and organizations as well as lead to unwanted costs and reputation challenges. By adhering to responsible AI guidelines, businesses can enhance transparency, accountability, and fairness in their operations, leading to better decision-making and outcomes. This presentation will look at why responsible and accountable data and AI - which some may see as the source of additional costs and effort is, in fact, good business.
