AI and machine learning can be used for good or for bad, however there is a third category that often gets overlooked: the gray area which often includes inappropriate or questionable use of others' data. As AI usage become more ubiquitous, data privacy will continue to be a growing concern that everyone from data scientists to CEOs will need to be aware of when building machine learning systems. Listen to learn more about Carole's perspective on this important issue!

ABOUT CAROLE Carole Piovesan is the Managing Partner at INQ Law and partner at INQ IQ’s data consultancy. Her practice focuses on data governance, privacy law, cybersecurity, and artificial intelligence risk management. Previously, Carole was a lawyer at a large Canadian law firm, where she served as co-lead of the firm’s National Cybersecurity, Privacy, and Data Management Group and lead on artificial intelligence. Carole advises the Canadian government on legal and policy issues related to data and AI and regularly advises companies on issues related to their collection, storage, and use of data. Carole is a recognized expert on legal and policy issues relating to data and AI and is a frequent speaker and author on these topics.

 

Connect with Carole here:

Twitter: @CJPiovesan

LinkedIn: https://www.linkedin.com/in/carolepiovesan/

 

Learn more about INQ Law: https://www.inq.law/

Learn more about Interset: https://www.microfocus.com/en-us/cyberres/secops/interset