Preeti
The article discusses the risks associated with submitting sensitive data to online artificial intelligence (AI) tools. It highlights the potential legal and contractual issues that can arise when using AI tools that have vague and user-unfriendly license agreements. These agreements may grant providers rights to use submitted data for training, analytics, marketing, and third-party sharing, posing risks to data privacy and compliance with regulations like the General Data Protection Regulation (GDPR).
The consequences of breaching data privacy regulations by providing sensitive information to AI tools include regulatory fines, reputational damage, customer churn, and legal action. To mitigate these risks, the article suggests implementing risk management controls, such as data classification policies, vetting AI providers, and developing internal AI solutions.
The importance of understanding the risks associated with AI tools and implementing robust mitigation strategies is emphasized. The article also mentions the EU’s AI Act as a step towards regulating AI technology. Ian Keller, a security director and CyberEdBoard executive member, provides insights on bridging the gap between corporate telecommunications intelligence and business communication to enhance decision-making and product quality. The CyberEdBoard community offers resources and collaboration opportunities for senior security executives and thought leaders.
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Source link: https://www.bankinfosecurity.com/blogs/on-point-risk-management-strategies-for-ai-tools-p-3655
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