Regulating AI to unlock innovation | David de Falguera | TEDxEsade Salon

The Role of Regulation in AI Innovation - Regulation is essential for building trust in AI technology, which is crucial for its adoption in sectors like healthcare, finance, and law [5][6] - Regulation provides certainty for innovation teams, enabling them to make faster decisions and focus on creating powerful tools without legal uncertainty [7][8] - Regulation drives better design by encouraging teams to consider trustworthy AI and human rights from the beginning of the innovation process, raising the quality of AI products [9][10] Overcoming Challenges in AI Regulation - Building multi-disciplinary teams (tech, law, cyber, data) is essential for collaborating from the beginning of the innovation process [12] - Accountability, demonstrating compliance, and considering ethics from the beginning are crucial when innovating with AI [13][14] - Compliance by design is key to building trustworthy AI, allowing for faster decisions and safe innovation [14][15] The AI Act - The AI Act classifies AI systems into unacceptable risk, high risk, and limited risk categories, which helps companies understand their obligations based on the level of risk [16] - The AI Act contains mechanisms to evolve alongside AI, allowing regulators and policymakers to update regulations as needed [17][18]