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May 22, 2024Leaders Must Balance AI Risk and Compliance
AI adoption is a top priority for over 40% of CEOs, aiming to boost efficiency and business performance, according to EY’s CEO Outlook Pulse report. However, AI’s integration raises significant risks, such as compliance issues, data accuracy, and consumer privacy. Successful AI implementation requires leaders to balance innovation with rigorous oversight, using historical context to navigate evolving regulations, and deploying AI applications that enhance productivity while maintaining compliance.
Mitigating AI Risks with Effective Governance
Navigating AI risks involves adhering to both regulatory and internal compliance standards. Companies must support their compliance teams to handle oversight challenges, particularly as AI-generated misinformation and data governance issues rise. Effective AI governance strategies should enable innovation while managing risks, ensuring that AI applications align with business objectives and regulatory requirements.
Strategic AI Deployment Across Business Functions
Executives should adopt a step-by-step approach to AI deployment, focusing on specific business functions and realistic goals. By leveraging past experiences with technological advancements, leaders can create clear strategies that harmonise innovation and compliance. This proactive approach will help organisations stay compliant and competitive in the evolving AI landscape.
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