5 ways rules and regulations can help guide your AI innovation (www.zdnet.com)

The landscape of AI regulation is shifting, urging business leaders to leverage compliance as a driver of innovation rather than a barrier. This is particularly important as governments, faced with the rapid development of AI technology, introduce frameworks like the EU's AI Act. Global law firm Bird & Bird has compiled an AI Horizon Tracker to analyze various jurisdictions' regulatory approaches, highlighting the diverse compliance landscapes businesses must navigate. Five industry leaders emphasize that effective governance can enhance AI explorations when properly integrated into an organization’s culture and processes. Key strategies include exploring within regulatory constraints, fostering partnerships, and promoting a culture that prioritizes data governance and risk management. Art Hu of Lenovo and Paul Neville from The Pensions Regulator stress the need for a visionary outlook that embraces AI’s transformative potential while adhering to compliance. Ian Ruffle of RAC underscores that nurturing relationships among teams dealing with data protection is crucial. Furthermore, Erik Mayer from Imperial College highlights the importance of maintaining data integrity while ensuring compliance, noting that over-cleaning data can inadvertently introduce bias into AI models. Ultimately, these insights suggest that a thoughtful, collaborative approach to compliance can uniquely position organizations for AI-driven success while safeguarding innovation.