OpenAI loses its AI ethics lead

OpenAI has lost its AI ethics lead Chloé Bakalar just a year after she joined the company, the Financial Times reported . Bakalar has maintained a silence and has yet to update her LinkedIn profile , but if her departure is confirmed then it will add to the list of OpenAI executives who have quit in recent months. Other departures include robotics chief Caitlin Kalinowski , who left the company…

computerworld.com ·1h ago

We haven't written up this one. Computerworld has the full story — the link below goes straight to it.

Read the original at computerworld.com →

More in AI

Osun Election: IPC deploys AI to protect journalists

The International Press Centre, IPC, has announced the deployment of a WhatsApp-enabled artificial intelligence incident reporting system to monitor and document attacks against journalists during the…

17m ago ·dailypost.ng

NTU to stop using 'fundamentally unreliable' AI detector from 2027

Nanyang Technological University will not rely on AI probability scores as evidence of academic misconduct, says its associate vice-provost.

21m ago ·channelnewsasia.com

Test moderators use AI-generated writing to judge literacy standards

To cut the cost of key stage 2 assessments, a UK government project proposes to use scripts generated by ChatGPT instead of real children's writing as examples supplied to moderators who check that…

25m ago ·newscientist.com

Source: Greg Brockman is "in founder mode" and getting more involved across every level of OpenAI to build out a leadership team ahead of an expected IPO (Madison Mills/Axios)

A wave of top OpenAI executives — including Sam Altman's top deputy, a longtime chief operating officer and the chief revenue officer …

39m ago ·axios.com

Apple training its own China-specific AI model with Alibaba's support

The move would make Apple the first foreign company approved by Beijing to offer a proprietary AI model in China

43m ago ·qz.com

LLM observability: tracing, monitoring, and debugging agents in production

Short answer LLM observability is runtime visibility into an LLM or agent system: the traces, metrics, and logs that let you see what a model and its agent loop actually did on a given request, so…

LLM observability enables insights into runtime behavior of large language models and agent systems.
Traces record each step of the process, including model calls, tool calls, and retrievals.
OpenTelemetry is commonly used for LLM observability, ensuring portability across tools and systems.

44m ago ·dev.to