Gemma Galdon-Clavell

Gemma Galdon-Clavell

Pioneer in Algorithmic Auditing and Responsible AI Policy

Core Intelligence Domain: Artificial Intelligence
Location: Barcelona, Spain | Languages: English, Spanish, Catalan
Representation: Represented globally by PSpeakers Global Intelligence

Gemma Galdon-Clavell is a pioneering voice in the realm of algorithmic accountability, serving as the Founder and CEO of Eticas, where she has established the global standard for algorithmic auditing and responsible AI governance. A renowned technology policy analyst, she operates at the critical intersection of rapid technological advancement and fundamental human rights. Her proprietary frameworks for identifying and mitigating algorithmic bias have fundamentally altered how global corporations and public institutions deploy artificial intelligence, ensuring systems are not only innovative but fundamentally fair, transparent, and compliant with emerging regulatory landscapes like the EU AI Act.

As an Ashoka Fellow and a leading voice in technology ethics, Dr. Galdon-Clavell has dedicated her career to anticipating the societal impacts of data-intensive technologies. Under her leadership, Eticas has developed proprietary methodologies to translate complex legal and ethical principles into actionable technical specifications. This groundbreaking approach allows organisations to audit their algorithms for bias, discrimination, and privacy vulnerabilities before they cascade into reputational or legal crises, effectively protecting both the enterprise and the end-user.

Her multidisciplinary expertise is highly sought after by international regulatory bodies and standard-setting organisations. She serves as an expert adviser to the United Nations, the European Commission, and the OECD, playing a crucial role in shaping the global discourse on data protection, smart city governance, and the socio-ethical implications of machine learning. Holding a PhD in Surveillance, Security and Urban Policy, Dr. Galdon-Clavell bridges the critical gap between social sciences and computer science, providing corporate boards with the strategic foresight required to innovate safely and sustainably in the era of generative AI.

Core Speaking Themes and Masterclasses

• Algorithmic Auditing & AI Governance: Practical frameworks for identifying bias, ensuring algorithmic transparency, and implementing responsible AI systems at scale.
• Navigating the EU AI Act and Global Policy: Strategic guidance for C-suite leaders on compliance, risk assessment, and regulatory foresight in an increasingly scrutinised digital landscape.
• The Ethics of Data-Driven Innovation: How to embed human rights, privacy, and fairness directly into the design, testing, and deployment of emerging technologies.
• Smart Cities, Surveillance, and Society: Balancing public security and urban innovation with citizen privacy, civil liberties, and public trust.
• Responsible AI as a Competitive Advantage: Transforming ethical constraints and regulatory requirements into powerful drivers of brand trust, customer loyalty, and sustainable business growth.

Key Takeaways

• Proprietary Auditing Frameworks: Access to actionable, stress-tested methodologies designed to detect and mitigate algorithmic bias while protecting organisational reputation.
• Regulatory Foresight: Expert, up-to-the-minute insights into the evolving landscape of global technology policy, enabling proactive rather than reactive compliance.
• Cross-Disciplinary Integration: Proven strategies for aligning technical engineering teams with legal, ethical, and executive leadership to ensure cohesive product development.
• Sustainable Innovation: A clear, ethical roadmap for deploying artificial intelligence that maximises operational efficiency without compromising fundamental human rights.