Business
Meta Decentralizes AI Effort: Meta Restructures its AI Research Teams
The future of Big AI may lie with product-development teams. Meta reorganized its AI division. Henceforth, AI teams will report to departments that develop key products.
Bias
Tech & Society
Child-Welfare Agency Drops AI: Oregon and Pennsylvania Halt Use of AI Tool for At-Risk Kids
Officials in charge of protecting children stopped using a machine learning model designed to help them make decisions in difficult cases. The U.S. state of Oregon halted its use of an algorithm intended to identify children who may benefit from intervention.
Tech & Society
Native Processing: Intelligent Voices of Wisdom Teaches Native Culture to AI
A group of media and technology experts is working to give AI a better understanding of indigenous peoples. IVOW is a consultancy that aims to reduce machine learning bias against cultures that are underrepresented in training data by producing knowledge graphs and other resources.
Tech & Society
A Kinder, Gentler Language Model: Inside Instruct GPT-3, OpenAI's GPT-3 successor.
OpenAI unveiled a more reliable successor to its GPT-3 natural language model. InstructGPT is a version of GPT-3 fine-tuned to minimize harmful, untruthful, and biased output. It's available via an application programming interface.
Tech & Society
Standards for Hiring Algorithms: Met, Walmart, and more agree to hiring algorithm standards.
Some of the world’s largest corporations will use standardized criteria to evaluate AI systems that influence hiring and other personnel decisions.
Tech & Society
How to Overcome Societal Obstacles: How to break into AI from a disadvantaged background.
The top artificial intelligence companies include many people who earned degrees at elite educational institutions and started their employment with prior work experience. Yet the world is full of people from nontraditional backgrounds.
Interviews & Essays
Matt Zeiler: Advance AI for good
There’s a reason why artificial intelligence is sometimes referred to as “software 2.0”: It represents the most significant technological advance in decades. Like any groundbreaking invention, it raises concerns about the future, and much of the media focus is on the threats it brings.
Interviews & Essays
Yoav Shoham: Language models that reason
I believe that natural language processing in 2022 will re-embrace symbolic reasoning, harmonizing it with the statistical operation of modern neural networks. Let me explain what I mean by this.
Interviews & Essays
Abeba Birhane: Clean up web datasets
From language to vision models, deep neural networks are marked by improved performance, higher efficiency, and better generalizations. Yet, these systems are also marked by perpetuation of bias and injustice.
Tech & Society
Governments Lay Down the Law: Governments around the world increasingly regulate AI.
Legislators worldwide wrote new laws — some proposed, some enacted — to rein in societal impacts of automation.What happened: Authorities at all levels ratcheted up regulatory pressure as
Machine Learning Research
Large Language Models Shrink: Gopher and RETRO prove lean language models can push boundaries.
DeepMind released three papers that push the boundaries — and examine the issues — of large language models.
Tech & Society
Corporate Ethics Counterbalance: Timnit Gebru launches institute for AI fairness.
One year after her acrimonious exit from Google, ethics researcher Timnit Gebru launched an independent institute to study neglected issues in AI.