Skip to Content

Solving bias

February 5, 2020
Man on stage at EmTech Digital
Man on stage at EmTech Digital
Man on stage at EmTech Digital

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.

Purchase your ticket now.

Deep Dive

Artificial intelligence

Yann LeCun
Yann LeCun

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.

images created by Google Imagen
images created by Google Imagen

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.

AGI is just chatter for now concept
AGI is just chatter for now concept

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 and robotics concept
AI and robotics concept

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.

Stay connected

Illustration by Rose WongIllustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.