Google takes a lot of heat from the European Union over its privacy standards. Now the company is taking its turn to speechify.
This morning, Google’s Global Privacy Counsel Peter Fleischer took
the stage at a European regional meeting on the “ethical dimensions
of the information society,” organized by the French Commission of
the UNESCO, to call for international privacy standards.
“The majority of the world’s countries offer virtually no privacy
standards to their citizens and businesses,” Fleischer later wrote in a
blog post calling for international privacy standards that are
“clear and strong, mindful of commercial realities, and in line with
oftentimes divergent political needs.”
Now is the time for such
standards, Fleischer writes, because of accelerating globalization,
technological innovation and concern over personal privacy.
Search rivals Ask and Microsoft called for industry-wide standards in July.
As a workable model for international standards, however, Fleischer
cites the Asia-Pacific Economic Cooperation (APEC) Privacy Framework.
The APEC Privacy Framework, according to the organization’s Web site,
is built on nine principles: preventing harm, integrity of personal
information, notice, security safeguards, collection limitations,
access and correction, uses of personal information, accountability
and choice.
Fleischer said the framework appeals to Google because it balances
business needs and commercial interests. And unlike other
international privacy standards, as well as the OECD guidelines and the European
Directive, the APEC Privacy Framework was developed in the “Internet
age.”
A Google spokesperson told InternetNews.com the company does
not mean to endorse specific privacy standards, such as APEC’s, but
to advocate a “clear strong workable practice.”
In June, Google responded to pressure from the European Union over
privacy concerns by agreeing to anonymize its search server logs
after 18 months. Previously, Google held onto user search data for as
long as 24 months, a length of time the company decided on in reaction to past European Union (EU) concerns.
This article was first published on InternetNews.com.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.