Jodi Daniels, a privacy consultant and founder/CEO of Red Clover Advisors, emphasizes the importance of updating data privacy programs to align with the use of artificial intelligence (AI). With AI becoming increasingly prevalent in organizations, corporations, and governments, it is crucial for businesses to proactively navigate the complexities of data privacy in the age of AI to avoid potential repercussions. To help businesses adapt, Daniels outlines five strategies for navigating data privacy in the AI era.
The first strategy is to review jurisdiction-specific data privacy requirements while focusing on aligning with industry-wide best practices. With privacy continuously evolving due to new technologies and regulations, it is essential to invest in privacy best practices to create a strong foundation while understanding current jurisdictional requirements. By identifying regulations that may apply to their business, companies can stay ahead of the curve and ensure compliance with laws like the EU AI Act and the California Privacy Rights Act.
Another important strategy is to address AI use and risks in privacy policies. By explicitly outlining how data can be shared with AI programs, businesses can build trust with consumers and demonstrate their commitment to responsible AI use. Creating a separate AI use policy can provide clarity on AI-related questions and establish actionable steps in case of violations.
Employee training is also key in navigating data privacy in the AI era. Regular training sessions can help employees understand policies regarding the input of personal data into AI tools and address potential risks such as data handling concerns and bias. By working closely with different departments, businesses can ensure that employees are aware of restrictions related to data privacy and AI applications.
Consumer trust should be a central focus when using AI, as transparency in data collection practices can help maintain trust and alleviate concerns. Clearly communicating the purpose and potential risks of AI use in privacy notices can give consumers the opportunity to opt out when their data intersects with AI. Planning for a changing environment by staying informed about data privacy regulations, conducting regular data inventories, and promoting responsible AI use across the organization can help businesses adapt to the evolving landscape of AI.
In conclusion, navigating data privacy in the age of AI requires a proactive approach and a commitment to responsible AI use. By following the strategies outlined by Jodi Daniels, businesses can stay ahead of the curve and ensure compliance with data privacy regulations while maintaining consumer trust. As AI continues to evolve, businesses must adapt their privacy programs to embrace the opportunities that AI offers while mitigating potential risks.
