India's largest platform and marketplace for GCC & AI leaders and professionals

Sign in

India's largest platform and marketplace for GCC & AI leaders and professionals

3AI Digital Library

Give AI a ‘positive’ spin: Google tells its scientists

3AI January 19, 2021

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, policy, and public relations teams prior to publishing anything on topics which could be deemed sensitive like sentiment analysis and categorisations of people based on race and/or political affiliation.

The new review means that papers from Google’s expert researchers which raise questions about AI developments may never be published. Reuters says four staff researchers believe Google is interfering with studies into potential technology harms.

Google recently faced scrutiny after firing leading AI ethics researcher Timnit Gebru.

Gebru is considered a pioneer in the field and researched the risks and inequalities found in large language models. She claims to have been fired by Google over an unpublished paper and sending an email critical of the company’s practices.

In an internal email countering Gebru’s claims, Head of Google Research Jeff Dean wrote:

“We’ve approved dozens of papers that Timnit and/or the other Googlers have authored and then published, but as you know, papers often require changes during the internal review process (or are even deemed unsuitable for submission). 

Unfortunately, this particular paper was only shared with a day’s notice before its deadline — we require two weeks for this sort of review — and then instead of awaiting reviewer feedback, it was approved for submission and submitted.

A cross-functional team then reviewed the paper as part of our regular process and the authors were informed that it didn’t meet our bar for publication and were given feedback about why.”

While it’s one word against another, it’s not a great look for Google.

“Advances in technology and the growing complexity of our external environment are increasingly leading to situations where seemingly inoffensive projects raise ethical, reputational, regulatory or legal issues,” Reuters reported one of Google’s documents as saying.

On its public-facing website, Google says that its scientists have “substantial” freedom—but that’s increasingly appearing like it’s not the case.

Picture from freepik.com

    3AI Trending Articles

  • AI to outmanoeuvre human drivers

    As driverless cars become a mainstream reality, AI is aiding it greatly to  remove all barriers to autonomous function and humanization of its operation. The biggest challenge self-driving cars will have to overcome on the road is being able to react to the randomness of traffic flow, other drivers, and the fact that no two […]

  • From Analytics to Gen AI: Understanding the AI & ML foundations of LLM’s

    Featured Article: Author: Nikhil Bimbrahw, Genpact From the moment we wake up, to the moment we go back to sleep, technology is everywhere. The highly digital life we live in and the development of our technological world has become the new normal. According to the International Telecommunication Union (ITU), almost 50% of the world’s population uses the […]

  • Commodity Price Forecasts using ML driven Insights

    Featured Article: Author: Tarana Chauhan, Procurement Analyst, AB InBev Dependency on Commodities and Associated Risks: Companies with Agricultural commodities as their core raw material face several risks in supply security. Agricultural commodities not only suffer from the risks associated with market dynamics like all other commodities but are also impacted by environmental factors making them […]

  • Microsoft Announces Limited Access to its Custom Neural Voice

    Microsoft announced limited access to its neural text-to-speech AI called Custom Neural Voice. The service allows developers to create custom synthetic voices. . The Custom Neural Voice is a Text-to-Speech (TTS) feature of Speech in Azure Cognitive Services that allows users to create a one-of-a-kind customized synthetic voice for their brand.  Since the preview last year in September, the […]