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20 March 2024



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AI GovernanceLaw & Regulation


OECD PRIVACY, AI LEADERS COME TOGETHER TO BRIDGE GAPS




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Caitlin Andrews

IAPP staff



4 Minute Read



A new working group from one of the most significant international policy
institutions in the world aims to bridge the gap between the artificial
intelligence and privacy communities.

The main goal of the Organisation for Economic Co-operation and Development's
Expert Group on AI, Data and Privacy is to show where the bridges already exist
among the group's three pillars. The intergovernmental group is the latest
offering from the OECD.AI initiative, which tracks AI incidents and runs an AI
policy database — all with the aim of creating a collective repository. Now,
members from the AI and privacy worlds will discuss the challenges they face in
regulating those issues and work toward cooperative solutions.

"This group is really meant to harness the synergies and learnings from both
communities, so that we can learn from each other and forge a way forward that
is cohesive and united," said Denise Wong, the deputy commissioner of
Singapore's Personal Data Protection Commission and a co-chair of the group. 

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The working group promises to be diverse, pulling together people from industry
and academia, as well as regulators. Within the group will be two working
parties, one focused on data protection and another on AI governance. Members
who spoke to the IAPP said they see a pressing need for a place where they can
talk to each other and exchange ideas.

For instance, Winston Maxwell, director of law and digital studies at Télécom
Paris, indicated the need for collaboration was obvious when he noticed his
colleagues were writing papers around areas like AI, fairness and privacy.
However, the authors did not know anything about the data protection authorities
and court cases surrounding those issues.

"The research community is coming up with their own very interesting ideas and
approaches to solving AI problems," Maxwell said. "But what struck me is they
really didn't know that a lot of those problems have been addressed a different
way."

The working group will also help navigate areas where general agreement has been
reached, but tricky details remain unsettled. 

"There is a broad agreement that transparency is an important prerequisite for
trustworthy AI systems,"  Institute of Electrical and Electronics Engineer
Senior Director for European Operations Clara Neppel said. "The question is how
to fulfill this requirement without serious implications on privacy."

The group was formed as 71 different countries have AI policies or strategies in
place, according to the OECD's database, but only one major binding
international regulation exists. The EU AI Act passed the European Parliament 13
March, but it still has to go through a technical vote and the majority of the
rules will not be in effect until three years after its entry into force. Like
the EU General Data Protection Regulation before it, the AI Act has the
potential to set standards for AI policy as the technology continues to advance.

Israeli Privacy Protection Authority Head of Legal Reuven Eidelman said the GDPR
is one prominent area of legislation where privacy and AI has already been
addressed that the group could highlight. For example, AI stakeholders may look
to GDPR Article 22's handling of automated decision-making technology, an area
other regulators like the California Privacy Protection Agency are working to
build guardrails around.

While there is an importance around rules that balance privacy and AI concerns,
the two subjects are not mutually exclusive in every instance. Boundaries need
to be in place for work on standalone privacy and AI matters.

"Not all required AI regulation is privacy related, and not all problems that
have to do with AI are privacy problems," Eidelman said.

One of the group's primary goals is to define those parameters. There is also a
need, according to Maxwell, to identify common terminology between privacy and
AI communities and create a working lexicon.

The group's goal is to create a trusted ecosystem for stakeholders to look to
when trying to navigate existing laws while pursuing innovation, Wong said. It
is the type of work the privacy community is already used to doing when it comes
to AI.

"Part of the work of regulators and the community around them is to unpack some
of these laws to see where the limits are," she added. "And within those limits,
make sure that people can use the data they need in order to innovate."

This article is eligible for Continuing Professional Education credits. Please
self-submit according to CPE policy guidelines.

Submit for CPEs
Interested in writing for us? Visit our Contributor Guidelines Page



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