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.
Yann LeCun has a bold new vision for the future of AI
One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.
The dark secret behind those cute AI-generated animal images
Google Brain has revealed its own image-making AI, called Imagen. But don't expect to see anything that isn't wholesome.
The hype around DeepMind’s new AI model misses what’s actually cool about it
Some worry that the chatter about these tools is doing the whole field a disservice.
AI’s progress isn’t the same as creating human intelligence in machines
Honorees from this year's 35 Innovators list are employing AI to find new molecules, fold proteins, and analyze massive amounts of medical data.
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