November 30, 2023 at 10:07AM
AI and ML technologies offer substantial productivity gains but carry risks like data misuse and inaccurate results. To use AI securely, companies must examine legal agreements, guard sensitive data, validate vendor security, use local open-source tools, track AI usage, and create tailored AI policies.
Meeting Takeaways:
1. **AI/ML Benefits and Dangers**: There is considerable attention on the potential for AI and ML technologies to greatly enhance productivity but also concerns about risks such as inaccurate results and data breaches.
2. **The Importance of Data Security**: Since AI models rely heavily on data to function, the primary risk involves how sensitive and confidential data is handled, particularly by external AI/ML tools.
3. **Tips for Secure AI/ML Tool Usage**:
– **Tip 1**: Be cautious with free AI tools as they may monetize your data, posing a risk to your privacy.
– **Tip 2**: Always have legal personnel review agreements to understand data management by vendors.
– **Tip 3**: Protect internal data by applying least privilege principles, limiting unnecessary data access.
– **Tip 4**: Explore AI tool privacy settings and consider paid versions for better data protection.
– **Tip 5**: Validate vendor security rigorously to safeguard against digital supply chain breaches.
– **Tip 6**: Use local open-source AI frameworks to maintain control and privacy over data.
– **Tip 7**: Keep track of all AI usage within the company to better understand and mitigate risks.
– **Tip 8**: Establish a clear AI policy tailored to the company’s needs and educate employees about potential risks.
4. **Final Notes**: AI tools present valuable opportunities but require careful strategies to manage associated security risks. Employing the suggested precautions can help a company make safe use of AI and ML technologies.