#Ethics
Curated coverage on «Ethics»: releases, research, benchmarks, open-source.
Anthropic Expands Project Glasswing to 150 Organizations in 15+ Countries
Anthropic is expanding its Project Glasswing security program to 150 new organizations in 15+ countries, including critical infrastructure providers. Over 10,000…
OpenAI Shares Its Position on AI Policy and Company Independence
OpenAI published a statement on its AI policy position, confirming the company is ready to engage in dialogue with regulators while remaining independent from…
OpenAI Unveiled AGI Development Plan with Focus on Safety and Accessibility
OpenAI published its vision of the future with AI, emphasizing the need for safe AGI development and fair distribution of technology's benefits to all humanity.
UK Banks Remain Blocked from Anthropic's Mythos, Says Bailey
When Old Data Derails AI Deployment: Risks and Solutions
Illinois Approved America's Strictest AI Law: Safety Audits Are Mandatory
GLOBSEC 2026 revealed two fundamentally different paths for European digital policy development
Google Gives Users Control Over Sources in AI Overviews
Google added Preferred Sources feature to AI Overviews and AI Mode, allowing users to add favorite websites to AI search results.
Databricks on Why Enterprise AI Has Shifted From Hype to Security
Enterprise AI is entering a new phase: while companies once evaluated technology based on excitement, the primary question now is how safe widespread deployment is.
Anthropic Updates Responsible Scaling Policy—A Flexible Safety System for Growing AI Models
How to Connect SageMaker MLflow to Legacy Systems via REST API — AWS Solution
AWS SageMaker: Embedding MLflow UI in a Custom Portal via React
Sam Altman Is Wrong: Parkinson's Law Will Protect Jobs from AI
Trump Delays Executive Order on Government AI Safety Reviews
Trump postponed an executive order mandating government safety reviews of AI models before market release, claiming the order's wording could obstruct technological…
Meta Discusses Testing Methods for Advanced AI at Scale
Meta published an approach to developing and testing personalized AI, emphasizing the critical importance of reliability, security, and user protection at scale.