Why detecting AI-generated text is so difficult (and what to do about it)
The AI text detector that OpenAI rolled out is only one tool among many, and in the future we will likely have to use a combination of them to identify AI-generated text. Another new tool, called GPTZero, measures how random text passages are. AI-generated text uses more of the same words, while people write with more variation. As with diagnoses from doctors, says Abdul-Mageed, when using AI detection tools it’s a good idea to get a second or even a third opinion.
One of the biggest changes ushered in “It will be easier to write correctly, but it won’t be easier to write originally,” Raschka says.
New report: Generative AI in industrial design and engineering
Generative AI—the hottest technology this year—is transforming entire sectors, from journalism and drug design to industrial design and engineering. It’ll be more important than ever for leaders in those industries to stay ahead. We’ve got you covered. A new research report from MIT Technology Review highlights the opportunities—and potential pitfalls— of this new technology for industrial design and engineering.
The report includes two case studies from leading industrial and engineering companies that are already applying generative AI to their work—and a ton of takeaways and best practices from industry leaders. It is available now for $195.
Deeper Learning
AI models generate copyrighted images and photos of real people
Popular image generation models such as Stable Diffusion can be prompted to produce identifiable photos of real people, potentially threatening their privacy, according to new research. The work also shows that these AI systems can be made to regurgitate exact copies of medical images, as well as copyrighted work Why this matters: The extent to which these AI models memorize and regurgitate images from their databases is at the root of multiple lawsuits between AI companies and artists. This finding could strengthen the artists’ case. Read more from me about this.