The time to implement an internal AI usage policy is now | Computer Weekly
Summary
But, as with any emerging technology, AI’s growth in popularity establishes a new attack surface for malicious actors to exploit, thereby introducing new risks and vulnerabilities to an increasingly complex computing landscape. Protecting the increased attack surface created by AI requires several lines of action, including IT tools, changing employee habits, and data governance. It is increasingly important therefore that organisations devote time and resource to developing internal use and misuse policies for employees using AI in the workplace so that information and integrity is protected. These policies are only possible with a commitment to staying informed through ongoing research and continuous knowledge sharing; collaboration between AI experts and cybersecurity professionals at other organisations is vital for a comprehensive and proactive approach to identifying and mitigating AI-related risks. Machine learning algorithms can be trained on large datasets to recognise patterns and identify potential vulnerabilities that may not be immediately obvious to human testers.