Posted on Nov 30, 2022
The ethical and privacy concerns over deep fakes and AI and our democracy
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From cybercriminals using deep fakes to apply for remote work positions to artificial intelligence in China that can detect party loyalty, the latest technology can pose shocking questions about security, privacy, ethics and our democracy.
We examine the future of deep fakes. We’ve seen clumsy videos of politicians, easily debunked as fake. But what if they are indistinguishable from the real thing? What are the implications for our democracy?
Plus, in a new experiment, robots trained on AI repeatedly identified blocks with a Black man’s face as a “criminal.” Why is it so hard to eliminate bias in AI?
Joining Cincinnati Edition for a full hour of tech are intrustIT Director of Business Growth Dave Hatter; University of Cincinnati School of Public and International Affairs Professor and Director Richard Harknett, Ph.D.; and Arizona State University School of Computing and Augmented Intelligence Professor Subbarao Kambhampati, Ph.D.
We examine the future of deep fakes. We’ve seen clumsy videos of politicians, easily debunked as fake. But what if they are indistinguishable from the real thing? What are the implications for our democracy?
Plus, in a new experiment, robots trained on AI repeatedly identified blocks with a Black man’s face as a “criminal.” Why is it so hard to eliminate bias in AI?
Joining Cincinnati Edition for a full hour of tech are intrustIT Director of Business Growth Dave Hatter; University of Cincinnati School of Public and International Affairs Professor and Director Richard Harknett, Ph.D.; and Arizona State University School of Computing and Augmented Intelligence Professor Subbarao Kambhampati, Ph.D.
The ethical and privacy concerns over deep fakes and AI and our democracy
Posted from wvxu.org
Artificial Intelligence (AI)
China
Democracy
Ethics
Privacy
Posted >1 y ago
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PO1 William "Chip" Nagel Thank you for sharing that conversation.
They did a good job, imo, with a purpose in mind of discussion about needed public policy to prevent malicious use of technology.
Had a difficult time listening to the person with the heavy accent in the second part.
They did a good job, imo, with a purpose in mind of discussion about needed public policy to prevent malicious use of technology.
Had a difficult time listening to the person with the heavy accent in the second part.
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PO1 William "Chip" Nagel
..."What Are Deepfakes?
According to Merriam-Webster, a deepfake is “an image or recording that has been convincingly altered and manipulated to misrepresent someone as doing or saying something that was not actually done or said.” Scientifically, deepfakes are video content produced from the battle between two artificial intelligence (AI) combatants known as generative adversarial networks (GAN). One side, the generative network, generates video imagery using neural networks. The other side, the discriminative network, analyzes the video imagery to determine its realism.
The generative network maps the facial features and movements of the fake target into a complex roadmap (although “roadmap” oversimplifies the concept). Then it uses this roadmap to compile the new video with the target’s face. The discriminative network then looks for flaws or defects in the resulting video that would identify the video as fake. The analysis by the discriminative network is propagated back to the generative network, allowing it to produce more realistic fake videos."...
..."What Are Deepfakes?
According to Merriam-Webster, a deepfake is “an image or recording that has been convincingly altered and manipulated to misrepresent someone as doing or saying something that was not actually done or said.” Scientifically, deepfakes are video content produced from the battle between two artificial intelligence (AI) combatants known as generative adversarial networks (GAN). One side, the generative network, generates video imagery using neural networks. The other side, the discriminative network, analyzes the video imagery to determine its realism.
The generative network maps the facial features and movements of the fake target into a complex roadmap (although “roadmap” oversimplifies the concept). Then it uses this roadmap to compile the new video with the target’s face. The discriminative network then looks for flaws or defects in the resulting video that would identify the video as fake. The analysis by the discriminative network is propagated back to the generative network, allowing it to produce more realistic fake videos."...
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Many issues being covered that must be recognized and dealt with - going to listen. Hopefully, they do a good job discussing the issues - hopefully suggesting solutions.
I have to say this comment is alarming because people program A.I.:
"Plus, in a new experiment, robots trained on AI repeatedly identified blocks with a Black man’s face as a “criminal.” Why is it so hard to eliminate bias in AI?"
Programming A.I. in that way is not merely "bias" it is institutionalized racism.
It suggests a more worrisome much bigger picture which make bias seem like child's play. People should have realized long ago that bias, prejudice, the ignorance of discrimination which targets any demographic will spread to target additional demographics in the same ways.
Anyone who has ever been victimized by "doctored" photos and/or I.D. theft, voice recordings, can attest to the fact it is considered intent to kill. Available technology makes those efforts more realisitic with the use of A.I. as the web of nepotistic vigilante corruption expands.
I have to say this comment is alarming because people program A.I.:
"Plus, in a new experiment, robots trained on AI repeatedly identified blocks with a Black man’s face as a “criminal.” Why is it so hard to eliminate bias in AI?"
Programming A.I. in that way is not merely "bias" it is institutionalized racism.
It suggests a more worrisome much bigger picture which make bias seem like child's play. People should have realized long ago that bias, prejudice, the ignorance of discrimination which targets any demographic will spread to target additional demographics in the same ways.
Anyone who has ever been victimized by "doctored" photos and/or I.D. theft, voice recordings, can attest to the fact it is considered intent to kill. Available technology makes those efforts more realisitic with the use of A.I. as the web of nepotistic vigilante corruption expands.
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