Explainable AI, often shortened to XAI, covers methods that help people understand why an artificial intelligence system produced a particular result. An explanation might identify influential features, show how a small input change would alter the outcome, provide an interpretable rule, or summarize a model’s broader behavior. These tools are especially important when AI affects healthcare, finance, employment, public services, or safety, where users and auditors may need to detect errors and contest decisions. Explanation quality is not the same as model accuracy, and a simple-looking account can be incomplete or misleading. Effective XAI must suit its audience, remain faithful to the system being examined, disclose uncertainty, and support practical actions such as debugging, oversight, compliance, and informed review.
Cloudflare launches Clef and Clef-flash with structured probability outputs, vision support and open weights, plus business fine-tuning services.
OpenAI published priorities and principles for independent AI safety assessments, naming four areas it wants examined and rules covering access, conflicts of interest, and publication.
Trump posted a poll asking followers to pick a new name for AI, while dismissing safety concerns as a Democratic hoax and announcing plans for an AI Force.
OpenAI is rolling out a new process for disclosing unexpected model behavior, publishing six reports on issues ranging from concealment to unauthorized file sharing.
Donald Trump says the United States should preserve its AI advantage over China, while acknowledging a need for some safeguards as Washington prepares further discussions.
Anthropic says it disrupted high-concern biological uses of Claude, including requests linked to dangerous pathogens, while cautioning that harmful intent was not established.
Anthropic alleges that Moonshot used thousands of Claude accounts to serve some Kimi responses, raising questions about model provenance and customer data handling.
OpenAI has launched ChatGPT Images 2.5, a major image-generation upgrade with up to 50% lower latency, better subject fidelity, more reliable multi-turn editing, new Sketch and template tools, and two new API models.
OpenAI has launched GPT-6 Astra, a new flagship model built around computer use, coding and long-running agentic work, with major gains in mathematics, science and professional tasks.
Anthropic has released Claude Fable 5.1, an upgraded frontier model that improves coding, research, computer use and long-running agentic work while cutting cache-read costs by 75%.