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Building AI you can trust

February 5, 2020

Up to now, people have typically talked about AI in terms of its power. Will it outsmart us? Will it take our jobs? Will it control us?

We think those are the wrong questions to be asking.

As AI becomes increasingly easy to use and plays a role in more and more everyday decisions—from medical diagnosis to criminal sentencing to financial trading—it’s growing clear that the real issues with AI aren’t about its power, but about the limit of that power and how we can use it intelligently.

That’s why the theme of MIT Technology Review’s EmTech Digital, our annual conference on AI, is trust. How do we make the algorithms’ decisions more transparent and their data more reliable? Which decisions are safe to leave to them, and which require human judgment? What’s the best way for people and AI to work together?

In short, how do we get machines we can trust, data we can trust, and decisions we can trust?

Join us March 23-25 for a deep dive on these questions. With sessions featuring some of the world’s leading experts on everything from data privacy to deepfakes, virtual reality to voice recognition, it’ll be a masterclass for executive decision-makers on how to apply AI effectively, reliably, and ethically.

This year we’ve also added the optional AI Strategy Studio. If you’re responsible for your organization’s AI strategy, this is where you’ll hear real-life case studies from executives in leading organizations talking about how they have—and in some cases, haven’t—successfully integrated AI into their processes, products, and services.

Purchase your ticket today.

Deep Dive

Artificial intelligence

open sourcing language models concept
open sourcing language models concept

Meta has built a massive new language AI—and it’s giving it away for free

Facebook’s parent company is inviting researchers to pore over and pick apart the flaws in its version of GPT-3

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.

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Illustration by Rose WongIllustration by Rose Wong

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