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Privacy Included? What Researchers Should Know Before Implementing AI Solutions

About This Webinar

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

Featured Presenters
Webinar hosting presenter
Managing Partner, Pallas Research Associates
Lisa Horwich is the founder of Pallas Research Associates, based in Seattle, Washington. Pallas focuses on B2B qualitative research primarily for the tech and manufacturing industries.

Lisa started her research career as a quant researcher but found she really enjoys talking to people rather than crunching numbers. Prior to her career in market research, Lisa spent time in software development as well as ERP system integration. She currently serves on the executive board for QRCA and co-chairs the organization’s B2B SIG. Lisa has spoken widely on technology topics and has been published in Research World and Greenbook.
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