Professor Hany Farid, called the ‘father of digital forensics’, discusses the pace of development in Artificial Intelligence (AI) and the threats and opportunities presented by fully synthesized content. He also suggests the need for fundamental change in the business model for the technology sector, especially in context of Artificial Intelligence (AI) and Machine Learning (ML).
Mr. Farid is a professor at UC Berkeley and has collaborated with DARPA (Defense Advanced Research Projects Agency) to combat fake content since 2016.
What steps are required to combat the rise of fake content? What can the world of AI/ ML technology learn from the automotive industry? Has AI delivered on its promises? Tune in for an insightful conversation with Professor Hany Farid.
Discussion Points
- Exciting breakthroughs in AI and ML
- Deconstructing deep fakes: meaning, benefits and potential risks
- Actions required to combat the risk of deep fakes
- PhotoDNA: A case study of the real-world impact of technology
- Hany’s memorable project: A forensic analysis of the Lee Harvey Oswald backyard photos
- Developing digital forensic techniques to detect manipulation in images, audio and video
- Hany’s prediction for the technology sector - a brand new business model and selling point
- Potential areas of success for emerging tech companies
- Hany’s take on being called the ‘father of digital forensics’
Fernweh Insights is brought to you by Fernweh Group. The host of this episode, Nick Santhanam is the CEO of Fernweh.
This episode is part of Disruption 2.0 series where the focus is how a new wave of technology is disrupting multiple sectors. Fernweh Group is an investment company that is adapting an engaged investor and operator model to create alpha—performance superior to market indices—in the industrial/industrial tech sector.
For More Information
Hany Farid at Berkeley
Hany Farid on LinkedIn
Fernweh Group
Nick Santhanam at Fernweh Group
Information
- Show
- FrequencyUpdated Monthly
- PublishedFebruary 3, 2022 at 5:03 AM UTC
- Length36 min
- RatingClean