Ethical Considerations in AI Expansion
A new generative AI advancement is introduced to the world?through a research paper or carefully worded blog post.
Thought leaders and notable names gush over how it will revolutionize the world and upend?something?(for good, perhaps). When it is slowly rolled out to exclusive partners, its jaw-dropping qualities are treated as a spectacle, shared countless times over social media and on the news. After the public finally gets a hold of it, users find innovative new ways to implement it and collectively blow everyone's minds.?
At the same time, bad actors have concurrently figured out how to use this technology?to abuse or defraud people en masse. The parent company stays noticeably silent or, worse, talks about non-specific actions they will take to one day combat abuse. (Maybe.)
Today on Reality Defender, I dive into the current cycle of generative AI release and response — how it accelerates abuse, fraud, and disinformation — and what we can do to change it.
Innovation and responsibility can exist in tandem, and by disrupting the current way of building without considering the consequences, we can have both the most advanced AI systems?and avoid a litany of harms they would otherwise bring.
- Ben Colman , Co-Founder/CEO, Reality Defender
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Deepfakes originated in the 1990s and gained traction in the 2010s, with major advances in the field in 2014.
Reality Defender at RSA
Reality Defender?is proud to be part of this year's RSAC Innovation Sandbox.?Learn more about this amazing opportunity here, and join us in SF next month for the RSA Conference.
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A sophisticated deepfake campaign targeted Taiwan's presidential election. Reality Defender partnered with authorities to rapidly detect the fake audio and protect democracy.
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