Researchers analyzed 110 million YouTube comments. Their recommendation: Use algorithms to hide toxic speech, then follow up with human review.
Fighting misinformation, understanding powerful algorithms, and mitigating harms are top concerns for social media experts.
Machine learning tools only work if people use and trust them. To achieve this, developers and end users should have a back-and-forth conversation.
New MIT Sloan research offers a framework of human-intensive capabilities and a set of metrics to evaluate tasks across all occupations and better understand the effects of AI on the labor market.
Value creation is the true measure of successful AI implementation. It starts at proof of concept and considers AI’s impact on an industry, not just a company.
Hackathon is open to the public and will take place November 6-8, 2020
The AI Risk Repository, a database of over 700 risks posed by AI, aims to provide a shared framework for monitoring and maintaining AI risk oversight.
A McKinsey expert shares insights on what it takes to turn generative AI’s promise into tangible business value.
Counterterrorism expert Humera Khan harnesses diverse perspectives to anticipate and prevent violent extremism via her think tank, Muflehun.
Experts say those making decisions about AI should engage proactively with policymakers and consider worker voice and well-being.
