MacDirectory Magazine

Karina Vorozheeva

MacDirectory magazine is the premiere creative lifestyle magazine for Apple enthusiasts featuring interviews, in-depth tech reviews, Apple news, insights, latest Apple patents, apps, market analysis, entertainment and more.

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Stability AI took yet a different approach, opting for a full release of their Stable Diffusion with no guardrails on what can be synthesized. In response to concerns of potential abuse, the company’s founder, Emad Mostaque, said “Ultimately, it’s peoples’ responsibility as to whether they are ethical, moral and legal in how they operate this technology.” Nevertheless, the second version of Stable Diffusion removed the ability to render images of NSFW content and children because some users had created child abuse images. In responding to calls of censorship, Mostaque pointed out that because Stable Diffusion is open source, users are free to add these features back at their discretion. The genie is out of the bottle Regardless of what you think of Google’s or OpenAI’s approach, Stability AI made their decisions largely irrelevant. Shortly after Stability AI’s open-source announcement, OpenAI lowered their guardrails on generating images of recognizable people. When it comes to this type of shared technology, society is at the mercy of the lowest common denominator – in this case, Stability AI. Stability AI boasts that its open approach wrestles powerful AI technology away from the few, placing it in the hands of the many. I suspect that few would be so quick to celebrate an infectious disease researcher publishing the formula for a deadly airborne virus created from kitchen ingredients, while arguing that this information should be widely available. Image synthesis does not, of course, pose the same direct threat, but the continued erosion of trust has serious consequences ranging from people’s confidence in election outcomes to how society responds to a global pandemic and climate change. Moving forward, I believe that technologists will need to consider both the upsides and downsides of their technologies and build mitigation strategies before predictable harms occur. I and other researchers will have to continue to develop forensic techniques to distinguish real images from fakes. Regulators are going to have to start taking more seriously how these technologies are being weaponized against individuals, societies and democracies. And everyone is going to have to learn how to become more discerning and critical about how they consume information online

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