India's largest platform and marketplace for GCCs & AI

Sign in

India's largest platform and marketplace for GCCs & AI

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 She claims to have been fired by Google over an unpublished paper and sending an email critical of the company’s practices.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

  • Enriching Customer Data Platforms with Customer Identity Graphs in a Cookieless World

    Featured Article: Author: Jayachandran Ramachandran, Senior Vice President – Artificial Intelligence Labs, Course5 Intelligence The pandemic has created substantial changes in our shopping behavior. Even diehard offline buyers have moved to online channels, experiencing new ways of buying and fulfilling their needs through the digital ecosystem. Improving customer engagement and value realization by providing relevant […]

  • IoT devices at risk from Amnesia:33

      A new series of vulnerabilities dubbed Amnesia:33 puts millions of IoT devices at risk of being compromised. Security researchers from Forescout disclosed the 33 vulnerabilities today. The flaws are found in four open-source TCP/IP libraries used in the firmware of products from over 150 vendors. According to the researchers’ estimates, millions of consumer and […]

  • Towards a Responsible Future – Decoding the Importance of Ethics in AI

    Featured Article by Anusha Thakur The conjunction of the obtainability of vast amounts of stretch, speed, and big data for the development of machine learning algorithms and cloud computing platforms has led to a varied range of innovations in Artificial Intelligence (AI). In an era defined by state-of-the-art technologies, the role of AI systems, and […]

  • CxOs’ guide to achieve “escape velocity” for NextGen approaches!

    Featured Article Author: Vivek Mahendra, Managing Partner, Vivikta Advisory Prelude This is an Enterprise Architect’s perspective on the approach to scale the NextGen Solutions (read, AI/Generative AI/LLMs/Deep Learning led business solutions). A part of the 3 Point-of-View Thought Leadership series, this article focuses on the two foundational aspects – Leadership Archetypes its impact and learnings […]