Google is changing its paper review process following internal revolt

Google is making changes to how it reviews papers following an internal revolt over the company’s controversial practices.

Leading AI ethics researcher Timnit Gebru was fired from Google in December last year after sending an email to colleagues which criticised the company’s practices.

Gebru claims Google blocks the publication of papers that may cause criticism of the company’s work; including her most recent which questioned whether language models can be too...

Google is leaking AI talent following ethicist’s controversial firing

Some high-profile AI experts have departed Google after the controversial firing of leading ethicist Timnit Gebru.

Gebru was fired from Google after criticising the company’s practices in an email following a dispute over a paper she was told not to publish which questioned whether language models can be too big and whether they can increase prejudice and inequalities. In her email, Gebru also expressed frustration at the lack of progress in hiring women at...

Google is telling its scientists to give AI a ‘positive’ spin

Google has reportedly been telling its scientists to give AI a “positive” spin in research papers.

Documents obtained by Reuters suggest that, in at least three cases, Google’s researchers were requested to refrain from being critical of AI technology.

A “sensitive topics” review was established by Google earlier this year to catch papers which cast a negative light on AI ahead of their publication.

Google asks its scientists to consult with legal,...

Google fires ethical AI researcher Timnit Gebru after critical email

A leading figure in ethical AI development has been fired by Google after criticising the company.

Timnit Gebru is considered a pioneer in the field and researched the risks and inequalities found in large language models.

Gebru claims she was fired by Google over an unpublished paper and sending an email critical of the company’s practices.

The paper questions whether language models can be too big, who benefits from them, and whether they can increase...