Machine learning & AI

Generative AI: Five must-reads about the new era of creativity, job anxiety, misinformation, bias, and plagiarism

The bright and dark sides of AI have been in the spotlight for years. Think facial recognition, credit recommendation algorithms and verdicts, and medical image analysis. But the impressive and sometimes terrifying features of ChatGPT, DALL-E 2, and other conversational and image-generating AI programs seem to be the tipping point.

The most significant change in the last year has been the emergence of powerful generative AI. The software not only learns from large amounts of data but also creates things like coherently written documents, compelling stories, realistic images, and voiceovers of famous people. Generative AI has been around for nearly a decade, highlighted by long-standing concerns about deep fake videos. But as AI models now proliferate and consume so much of the web, people are confused about what AI means for the future of knowledge work, the nature of creativity, and the provenance and authenticity of content. Internet. Here are five articles from the archives focused on the next generation of artificial intelligence.

1. Working with generative AI
A panel of five AI experts discussed what generative AI means for artists and knowledge workers. It’s not just a question of whether technology will replace or increase your productivity. Lynne Parker, a computer scientist at the University of Tennessee, writes that while generative AI has significant benefits, such as increased creativity and access to knowledge, the new tool also has drawbacks. In particular, because they are modeled on human creations, they can impair skills such as writing and raise questions about intellectual property protection. Daniel Acuna, a computer scientist at the University of Colorado Boulder, finds these tools useful in his creative endeavors but is concerned about inaccuracies, biases, and plagiarism.

“Artistic works are praised not just for the finished product, but also for the struggle, playful interaction, and skillful engagement with the artistic task, all of which carry the artist from the moment of inception to the end result.”

University of Tennessee computer scientist Lynne Parker.

As computer scientist Kentaro Toyama of the University of Michigan writes, human skills can be valuable and marginalized in some industries. Progress in AI can be lost, and many people can lose it, but only people with human skills are rich in new creative skills.”

Mark Finlandison, a computer scientist at the Florida International University, may disappear, but new technologies developed in cooperation with AI will be evaluated. Here, the increase in text processing software was able to warn the CV to investigate the requirements of the dialel on the CV, but we could investigate almost everyone who could use it for computers. Casey Green, a biomedical informatics researcher at the University of Colorado Anschutz, writes that just as Google encourages people to develop skills to find information online, AI language models encourage people to develop skills to get the most out of the tools. find. “As with many technological advances, the widespread use of AI models will change the way people interact with the world. The question is whether society will use this moment to promote equality or to exacerbate inequality.”

2. Match pictures with words.
Generative AI can seem like magic. It’s hard to imagine how image-generating AI could take a few words from text and create an image to match the words.

AI as an idea generator for designers Hani Farid, a computer scientist at the University of California, Berkeley who specializes in image forensics, described the process. The software is trained on a large set of images, each with a short text description. “The model progressively damages each image until only visual noise remains, then trains a neural network to remove this damage. By repeating this process hundreds of millions of times, the model learns to transform the pure noise into a coherent representation of each image. Caption,” he wrote.

3. Marking the Car
Many AI-generated images are indistinguishable from photos, and AI-generated videos are rapidly improving. This strengthens our efforts to combat fraud and misinformation. Fake images of corporate executives can be used to manipulate stock prices, and fake images of political leaders can be used to spread dangerous misinformation. Farid explained how to create AI-generated photos and videos with a watermark that confirms they are synthetic. The trick is to create a digital watermark that cannot be changed or removed. “These watermarks can be added to the generative AI system by watermarking all training data, and the generated content will have the same watermark,” he wrote.

4. Many ideas
Despite all the legitimate concerns about the downsides of generative AI, this tool is useful for some artists, designers, and writers. Creative people can use the image generator to quickly sketch ideas, including unexpected materials. Using tools like DALL-E or Mid journey, industrial designer and Rochester Institute of Technology professor Juan Noguera and his students create thousands of images with abstract ideas.

“Type in any crazy phrase and you’ll get a series of unique images created just for you. Want to design a teapot? Make it 1,000,” he wrote. “Even a hand suitable for use as a teapot gives designers a source of inspiration to transform and refine into finished products.”

5. Shorten the creative process.
But using artificial intelligence to create finished works of art is another matter, according to philosophers Neer Eishkowitz and Alek Stubbs of the Center for Applied Ethics at the University of Massachusetts. They emphasize that the process of making art is not just about coming up with an idea.

The practical process of making something, repeating it, and improving it, often in response to audience response, is an essential aspect of making art, they wrote. “It’s the work of making something real and working out the details, not the moment you imagine it,” they wrote. “A work of art is praised not only for its finished work but also for its militant and playful relationship and its artistic relationship with the work of art. All this carries the artist from beginning to end.”

Provided by The Conversation

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