Technology
Do All AI Systems Need to Be Explainable?
“Explainable AI” can bridge the gap between AI outputs and human expertise, but a balance needs to be struck between explainability and performance.
“Explainable AI” can bridge the gap between AI outputs and human expertise, but a balance needs to be struck between explainability and performance.
Big Tech companies are lobbying hard to enshrine new forms of inequality into law.
Rapid advances in AI threaten to eliminate many jobs, but there are still two distinct paths this AI revolution could take.
The much-hyped AI tools of the future are being built by a globally dispersed army of data workers.
Instead of preparing for the distant future, philanthropy needs to work to prepare for the here and now.
The most powerful tool that workers and communities around the world have to fight exploitative new technologies.
Outsourcing and contract employment models have allowed the tech industry to obscure its terrible labor practices for years. A surging movement of these workers has had enough.
How organizations can engage with AI in smart and ethical ways right now.
Tech titans are fostering new forms of digital colonialism, both within wealthy countries and on the global stage. But it’s not too late to build a digital economy that works for everyone.
Ahead of SSIR’s 2023 Data on Purpose conference, Making Tech Work for Workers, here’s a collection of articles and books exploring the risks of tech innovation and what is needed to build a better, more worker-centered digital economy.