Panelist Teemu Roos

Teemu Roos

University of Helsinki

Finland

Teemu Roos is a professor of computer science at the University of Helsinki and leads the AI education program at the Finnish Center for AI. He is also the lead instructor of the “Elements of AI,” a free online course from the University of Helsinki and learning technology company MinnaLearn that has had over 1.2 million participants. He has held visiting scientist positions at the University of California, Berkeley and MIT and was a visiting fellow at Cambridge University. His research interests include statistical machine learning and its applications in astrophysics, neuroscience, and epidemiology.

Voting History

Statement	Response
Organizations are sufficiently expanding risk management capabilities to address AI-related risks. Agree	“On the one hand, companies are probably applying extensive risk management measures already; they're just not called AI risk management. What I mean is that we sometimes seem to think that AI is a separate universe, where only AI-specific risks and opportunities exist, when in fact every AI application is deployed in a certain context. Trying to create separate AI risk management from scratch will likely only lead to inconsistencies with existing, overlapping risk management capabilities. On the other hand, some types of risks, such as intellectual property and privacy issues, are indeed magnified by AI, which means that additional risk management capabilities are called for. Additionally, as the EU’s AI Act is being brought into effect, companies will need to invest in compliance, not unlike the introduction of GDPR in 2018.”

Statement

Response

Organizations are sufficiently expanding risk management capabilities to address AI-related risks. Agree

“On the one hand, companies are probably applying extensive risk management measures already; they're just not called AI risk management. What I mean is that we sometimes seem to think that AI is a separate universe, where only AI-specific risks and opportunities exist, when in fact every AI application is deployed in a certain context. Trying to create separate AI risk management from scratch will likely only lead to inconsistencies with existing, overlapping risk management capabilities.

On the other hand, some types of risks, such as intellectual property and privacy issues, are indeed magnified by AI, which means that additional risk management capabilities are called for. Additionally, as the EU’s AI Act is being brought into effect, companies will need to invest in compliance, not unlike the introduction of GDPR in 2018.”