AI Risks Creating a ‘Demand Machine’ for Governments, Report Warns
Route Fifty covered RethinkAI’s piece on how artificial intelligence will increase demand for government services before it increases efficiency.
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The App Store Accountability Act Poses Serious Concerns for Privacy, Security, and Free Expression
Real Skills, Real Income: Why Youth Apprenticeship Is Resonating Now
The SAVE Act Is the Wrong Way to ‘Nationalize’ Elections. There’s a Better One.
AI Discrimination in Hiring, and What We Can Do About It
AI-facilitated discriminatory hiring hurts people of color, women, people with disabilities, and society as a whole. How can we do better?
In the Absence of Federal Regulation, State and Local Movements are Pushing for Algorithmic Accountability
These local bills and efforts are valuable mechanisms for safeguarding consumers and citizens in the short term.
OTI, RDR, and Coalition Release Updated Santa Clara Principles on Transparency and Accountability in Content Moderation
The revised Santa Clara Principles outline the standards platforms must meet for transparency and accountability in content moderation.
Regulating Platform Algorithms
Policymakers are taking various legislative approaches to regulate platform algorithms. Here’s what they are—and how to improve them.
Facebook Releases Information on Algorithmic Content Ranking, but More Transparency Is Needed
Spandana Singh on three areas where Facebook can take steps towards providing more meaningful transparency and accountability.
What We Can Learn From China’s Proposed AI Regulations
Spandana Singh on the pros and cons of the AI regulations recently proposed by the Chinese government.
OTI Urges NIST to Prioritize Transparency, Create Additional Guidelines for AI Bias Assessments
OTI’s comments focus on including transparency as a guiding principle and encouraging developers to conduct post-deployment assessments.
The Path to Fairer AI Starts With Audits, Standards
Spandana Singh on how governments should promote fairness, accountability, and transparency around high-risk AI.