Data-centric automation is at the core of many modern businesses and governments worldwide. It brings cost savings and benefits that not too long ago might have felt like a distant dream. Connecting to other talks in this series, we will think about the realities and consequences of this shift.
How do Artificial Intelligence / Machine Learning (AI/ML) and privacy combine, if at all? Can and should robots decide things about humans? Should we be worried about boundary conditions? Are we doomed to give up all our data, or are there privacy-friendly solutions to common data problems?
We'll look for answers to these and other questions - all of which are increasingly raised not just in professional circles, but also in public discourse.
Andrzej Nowak spent the last 16 years at the juncture of technology, business and innovation. His early experience was rooted in computer security, and shifted to more general domains while working for CERN and at Intel. Between 2007 and 2014 Andrzej worked at CERN openlab - a collaboration of CERN and industrial partners such as Google, HP, Huawei, Intel, Oracle and Siemens – and managed one of openlab’s innovation labs. Andrzej was also part of the openlab CTO office, where he helped set up next-generation technology projects for CERN. After his CERN stay, Andrzej founded a small technology and innovation consultancy as well as a fintech start-up. In the last few years, he worked in management consulting in finance and in innovation management. Andrzej’s current topics of interest include the future of identity, privacy, and money.
Other CERN Academic Training lectures by the same speaker https://academictraining.cern.ch/search/?search=nowak
Submitted by the audience during the talk https://www.wired.com/story/san-franciscos-killer-police-robots-threaten-the-citys-most-vulnerable/
Submitted by attendee in the Zoom chat https://edps.europa.eu/data-protection/our-work/ipen/ipen-webinar-central-bank-digital-currency_en
Maria Dimou / 49 Participants