Annoying Humans Bedevil Smart Software

June 29, 2023

Humans are inherently biased. While sexist, ethnic, and socioeconomic prejudices are implied as the cause behind biases, unconscious obliviousness is more likely to be the culprit. Whatever causes us to be biased, AI developers are unfortunately teaching AI algorithms our fallacies. Bloomberg investigates how AI is being taught bad habits in the article, “Humans Are Biased, Generative AI Is Even Worse.”

Stable Diffusion is one of the may AI bots that generates images from text prompts. Based on these prompts, it delivers images that display an inherent bias in favor of white men and discriminates against women and brown-skinned people. Using Stable Diffusion, Bloomber conducted a test of 5000 AI images They were analyzed and found that Stable Diffusion is more racist and sexist than real-life.

While Stable Diffusion and other text-to-image AI are entertaining, they are already employed by politicians and corporations. AI-generated images and videos set a dangerous precedent, because it allows bad actors to propagate false information ranging from conspiracy theories to harmful ideologies. Ethical advocates, politicians, and some AI leaders are lobbying for moral guidelines, but a majority of tech leaders and politicians are not concerned:

“Industry researchers have been ringing the alarm for years on the risk of bias being baked into advanced AI models, and now EU lawmakers are considering proposals for safeguards to address some of these issues. Last month, the US Senate held a hearing with panelists including OpenAI CEO Sam Altman that discussed the risks of AI and the need for regulation. More than 31,000 people, including SpaceX CEO Elon Musk and Apple co-founder Steve Wozniak, have signed a petition posted in March calling for a six-month pause in AI research and development to answer questions around regulation and ethics. (Less than a month later, Musk announced he would launch a new AI chatbot.) A spate of corporate layoffs and organizational changes this year affecting AI ethicists may signal that tech companies are becoming less concerned about these risks as competition to launch real products intensifies.”

Biased datasets for AI are not new. AI developers must create more diverse and “clean” data that incorporates a true, real-life depiction. The answer may be synthetic data; that is, human involvement is minimized — except when the system has been set up.

Whitney Grace, June 29, 2023

Written by Stephen E. Arnold · Filed Under AI, News

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Stephen E. Arnold monitors search, content processing, text mining and related topics from his high-tech nerve center in rural Kentucky. He tries to winnow the goose feathers from the giblets. He works with colleagues worldwide to make this Web log useful to those who want to go "beyond search". Contact him at sa [at] arnoldit.com. His Web site with additional information about search is arnoldit.com.