Articles on OpenAI

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Images generated by AI systems, like these fake photos of Donald Trump being arrested (he hasn’t been arrested), can be a dangerous source of misinformation. AP Photo/J. David Ake

Watermarking ChatGPT, DALL‑E and other generative AIs could help protect against fraud and misinformation

In a world of increasingly convincing AI-generated text, photos and videos, it’s more important than ever to be able to distinguish authentic media from fakes and imitations. The challenge is how.
Over the past decade, a number of companies, think tanks and institutions have developed responsible innovation initiatives to forecast and mitigate the negative consequences of tech development. But how successful have they been? (Shutterstock)

The AI arms race highlights the urgent need for responsible innovation

When OpenAI claims to be “developing technologies that empower everyone,” who is included in the term “everyone?” And in what context will this “power” be wielded?
A synthetic image generated by mimicking real faces, left, and a synthetic face generated from the text prompt ‘a photo of a 50-year-old man with short black hair,’ right. Hany Farid using StyleGAN2 (left) and DALL-E (right)

Text‑to‑image AI: powerful, easy‑to‑use technology for making art – and fakes

Text-to-image generators like DALL-E and Stable Diffusion portend a future where anyone with a computer can fake a photograph of just about anything.
An unmarked grave with a headstone that resembles a computer screen, nicknamed ‘iGrave’, is seen in north-west London. Leon Neal/AFP

‘Deadbots’ can speak for you after your death. Is that ethical?

The recent case of a man making a simulation of his deceased fiancée raises important questions: while AI makes it possible to create “deadbots”, is it ethically desirable or reprehensible to do so?

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