Bias is to AI as rust is to steel. It corrupts decisions, leaving us unsure of the integrity of our systems. Lurking within data and algorithms, these hidden prejudices skew AI results in unexpected and undesired directions. Next month in San Francisco, EmTech Digital explores the practical approaches to addressing bias in algorithms and data.
Building ethical artificial intelligence is an enormously complex task because bias is in the eye of the beholder. Is an AI-based college admission system that considers gender and geography to balance the pool of accepted applicants more or less biased than one that does not? While we can probably agree that a balanced system is better, who has the authority to make these decisions
Artificial intelligence has given us algorithms capable of recognizing faces, diagnosing diseases, and, of course, crushing computer games. But even the smartest algorithms can sometimes behave in unexpected and unwanted ways. How can we prevent aberrant behavior in machine learning as the technology moves out of research labs and into the real world?
Join us next month to explore these topics and more at EmTech Digital.
The inside story of how ChatGPT was built from the people who made it
Exclusive conversations that take us behind the scenes of a cultural phenomenon.
ChatGPT is about to revolutionize the economy. We need to decide what that looks like.
New large language models will transform many jobs. Whether they will lead to widespread prosperity or not is up to us.
AI is dreaming up drugs that no one has ever seen. Now we’ve got to see if they work.
AI automation throughout the drug development pipeline is opening up the possibility of faster, cheaper pharmaceuticals.
GPT-4 is bigger and better than ChatGPT—but OpenAI won’t say why
We got a first look at the much-anticipated big new language model from OpenAI. But this time how it works is even more deeply under wraps.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.