How to Deepen Transatlantic Ties in AI and Cybersecurity? – Center for Data Innovation

As AI becomes more widely adopted, these new systems face both traditional cybersecurity challenges and new threats. For example, adversaries can poison the data used to train a machine learning model or subvert the input fed to an automated system to manipulate outcomes. These potential vulnerabilities pose substantial risks to consumers, since AI is increasingly integrated in products such as smart home devices, medical implants, autonomous vehicles, drones, and more, as well as IT systems used in sectors such as health care, education, and government. Addressing these challenges will require global cooperation. As transatlantic allies bound by common values and with a shared interest in promoting the digital economy, the United States, Canada, and the EU could take the lead by collaborating on a joint initiative for better cybersecurity for AI.

Join the Center for Data Innovation for a video webinar to discuss the transatlantic opportunities for promoting better cybersecurity in AI, and the ways in which policymakers could promote these initiatives.

Date and Time:

Speakers will be announced soon.

Register for this video webinar, watch the event live on this page, and submit questions for the panel via Sli.do, using the code #ai-cybersec.

Follow @DataInnovation and join the discussion on Twitter with the hashtag #datainnovation.