Privacy included? What researchers should know before implementing AI solutions

With the proliferation of AI tools designed to make researchers’ lives easier, how does one understand the potential privacy and confidentiality ramifications? This talk will provide researchers a foundation to interpret AI vendors’ terms of service, privacy policies and data sharing agreements.

Key takeaways:

• An overview of data privacy laws.
• Cybersecurity and data privacy risks and mitigation techniques.
• AI Foundation Model explanation.
• “Trustworthy” AI framework – including data compliance standards.

Access the recording: https://www.bigmarker.com/quirk-s-marketing-research-m/Privacy-Included-What-Researchers-Should-Know-Before-Implementing-AI-Solutions