Celebrating 20 years of MIT Technology Review bringing the business impact of technology innovation to live audiences worldwide. TRUST is the theme for this year’s EmTech Digital event from MIT Technology Review. Algorithms we can trust, data we can trust, decisions we can trust.
The most talked about issues in AI today—deepfakes, bias, explainability, privacy—all have trust as a common denominator. It’s essential for AI adoption: those who forgo trust put their deployments and potentially their brand reputations at risk.
EmTech Digital (next month in San Francisco) invites world-class AI experts, pioneers, and technologists—and YOU—to examine topics like these:
- Countering misinformation and bias as AI becomes more ubiquitous
- Road-mapping the latest in machine-learning research
- Understanding the role of AI in our personal lives
- The path to artificial general intelligence
- AI’s transformation of the workplace and workforce
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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