A new Stanford study suggests AI still has a bias problem
...
“The AI Index 2022 Annual Report” measures and evaluates the yearly progress of AI by tracking it from numerous angles including R&D, ethics, and policy and government. Here are the biggest takeaways.
NLP LEAPS FORWARD
Some of the most significant developments in AI over the past few years have occurred in the performance of natural language models–that is, neural networks trained to read, generate, and reason about language. ...
EYES ON ETHICS
There are also signs that AI companies are not ignoring the bias and ethics challenges of the technology. Researchers with industry affiliations contributed 71% more publications year-over-year in 2021 at fairness-focused industry conferences, the report says.
“Algorithmic fairness and bias have shifted from being primarily an academic pursuit to becoming firmly entrenched as a mainstream research topic with wide-ranging implications,” the researchers write. ...
The U.S. and China had the by far the highest number of cross-country collaborations in AI publications of any other two countries from 2010 to 2021. And the pace is accelerating: American and Chinese collaborations increased five times within that same time window. ...
See the full story here: https://www.fastcompany.com/90731527/a-new-stanford-study-suggests-ai-still-has-a-bias-problem
