Pioneering ethical AI solutions - Mahault helps organizations design transparent, adaptive AI systems powered by cutting-edge cognitive computing.
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Transform your AI strategy with ethical precision. As a global authority on AI governance, cognitive computing, and Active Inference, Mahault Albarracin helps organizations build adaptive, transparent, and human-centered AI systems. With deep academic and industry expertise, she bridges cutting-edge technology with responsible innovation - equipping leaders to navigate complexity, ensure compliance, and gain a competitive edge. Book her to future-proof your organization through smarter, safer, and more sustainable AI.
Keynote Speaker Mahault Albarracin is a renowned expert at the intersection of artificial intelligence, ethics, and cognitive computing. As Director of Innovations and R&D at VERSES AI, she is a driving force behind ethical, transparent AI systems rooted in Active Inference, an advanced framework enabling machines to learn, adapt, and reason responsibly. With a PhD in progress in Cognitive Computing and a foundation in behavioral science, Mahault offers a rare combination of technical depth and human-centered perspective.
What sets Mahault apart is her ability to turn complex AI challenges into strategic opportunities for organizations. Her keynotes provide clear, actionable insights on how businesses can adopt adaptive, sustainable AI while staying aligned with evolving regulations and stakeholder expectations. Whether addressing executive leaders or innovation teams, she delivers compelling, forward-thinking sessions that equip audiences with tools for governance, accountability, and future-proof decision-making.
Mahault has been featured at global forums, including the World Economic Forum in Davos, and collaborates with industry pioneers like Karl Friston. Her influence extends across academia, tech, and policy - making her an essential voice in shaping the future of ethical AI.
Book Mahault Albarracin for your event to gain a thought-provoking, strategic keynote that will empower your organization to lead with responsible innovation in the age of intelligent technologies.
Keynote by Mahault Albarracin:
How can we develop and deploy AI responsibly? Mahault addresses the frameworks and policies for ethical AI governance, drawing on her experience in AI regulation and her social science background. She illustrates ways organizations can implement guidelines to ensure AI systems are transparent, fair, and accountable.
Keynote by Mahault Albarracin:
A deep dive into Active Inference – the advanced approach to AI that Mahault specializes in. She explains how this paradigm (inspired by cognitive science) allows AI systems to learn and adapt autonomously by simulating a sense of self and purpose. Audiences learn about the future of AI beyond traditional machine learning, including how Active Inference can improve decision-making and move us closer to more autonomous, resilient AI.
Keynote by Mahault Albarracin:
Mahault explores the crucial link between AI and environmental sustainability. She demonstrates how AI-driven solutions and cognitive computing can help manage resources more efficiently and support ecological resilience. Based on her work in sustainable tech research, she shares examples of AI applied to climate challenges, smart cities, and sustainable resource management. This topic shows how technology can be leveraged to serve both humanity and the planet responsibly.
Keynote by Mahault Albarracin:
Drawing from her advocacy work, Mahault speaks about the importance of diversity, equity, and inclusion in the tech industry. She covers the challenges women and underrepresented groups face in tech and why diverse perspectives are vital for innovation. Through stories of her initiatives (like Manifeste des femmes en tech and Sexualis) and industry examples, she offers strategies to foster inclusive cultures and increase representation in STEM fields.
Keynote by Mahault Albarracin:
Mahault also addresses how cognitive science principles can inform safer AI. In this topic, she delves into AI safety and the architecture of cognition in machines – ensuring that AI systems not only perform well but also align with human values and cognitive processes. She discusses designing AI that can reason in human-like ways while avoiding biases and unintended consequences, sharing insights from her research in cognitive computing and AI ethics.
