Calls to
regulate AI are growing louder. But how exactly do you regulate a technology
like this?
Published:
April 5, 2023 2.48am CEST
Last
week, artificial intelligence pioneers and experts urged major AI labs to
immediately pause the training of AI systems more powerful than GPT-4 for at
least six months.
An open
letter penned by the Future of Life Institute cautioned that AI systems with
“human-competitive intelligence” could become a major threat to humanity. Among
the risks, the possibility of AI outsmarting humans, rendering us obsolete, and
taking control of civilisation.
The
letter emphasises the need to develop a comprehensive set of protocols to
govern the development and deployment of AI. It states:
These
protocols should ensure that systems adhering to them are safe beyond a
reasonable doubt. This does not mean a pause on AI development in general,
merely a stepping back from the dangerous race to ever-larger unpredictable
black-box models with emergent capabilities.
Typically,
the battle for regulation has pitted governments and large technology companies
against one another. But the recent open letter – so far signed by more than
5,000 signatories including Twitter and Tesla CEO Elon Musk, Apple co-founder
Steve Wozniak and OpenAI scientist Yonas Kassa – seems to suggest more parties
are finally converging on one side.
Could we
really implement a streamlined, global framework for AI regulation? And if so,
what would this look like?
What
regulation already exists?
In
Australia, the government has established the National AI Centre to help
develop the nation’s AI and digital ecosystem. Under this umbrella is the
Responsible AI Network, which aims to drive responsible practise and provide
leadership on laws and standards.
However,
there is currently no specific regulation on AI and algorithmic decision-making
in place. The government has taken a light touch approach that widely embraces
the concept of responsible AI, but stops short of setting parameters that will
ensure it is achieved.
Similarly,
the US has adopted a hands-off strategy. Lawmakers have not shown any urgency
in attempts to regulate AI, and have relied on existing laws to regulate its
use. The US Chamber of Commerce recently called for AI regulation, to ensure it
doesn’t hurt growth or become a national security risk, but no action has been
taken yet.
Leading
the way in AI regulation is the European Union, which is racing to create an
Artificial Intelligence Act. This proposed law will assign three risk
categories relating to AI:
Although
some groups argue the EU’s approach will stifle innovation, it’s one Australia
should closely monitor, because it balances offering predictability with
keeping pace with the development of AI.
China’s
approach to AI has focused on targeting specific algorithm applications and
writing regulations that address their deployment in certain contexts, such as
algorithms that generate harmful information, for instance. While this approach
offers specificity, it risks having rules that will quickly fall behind rapidly
evolving technology.
Read
more: AI chatbots with Chinese characteristics: why Baidu’s ChatGPT rival may
never measure up
The pros
and cons
There are
several arguments both for and against allowing caution to drive the control of
AI.
On one
hand, AI is celebrated for being able to generate all forms of content, handle
mundane tasks and detect cancers, among other things. On the other hand, it can
deceive, perpetuate bias, plagiarise and – of course – has some experts worried
about humanity’s collective future. Even OpenAI’s CTO, Mira Murati, has
suggested there should be movement toward regulating AI.
Some
scholars have argued excessive regulation may hinder AI’s full potential and
interfere with “creative destruction” – a theory which suggests long-standing
norms and practices must be pulled apart in order for innovation to thrive.
Likewise,
over the years business groups have pushed for regulation that is flexible and
limited to targeted applications, so that it doesn’t hamper competition. And
industry associations have called for ethical “guidance” rather than regulation
– arguing that AI development is too fast-moving and open-ended to adequately
regulate.
But
citizens seem to advocate for more oversight. According to reports by Bristows
and KPMG, about two-thirds of Australian and British people believe the AI
industry should be regulated and held accountable.
What’s
next?
A
six-month pause on the development of advanced AI systems could offer welcome
respite from an AI arms race that just doesn’t seem to be letting up. However,
to date there has been no effective global effort to meaningfully regulate AI.
Efforts the world over have have been fractured, delayed and overall lax.
A global
moratorium would be difficult to enforce, but not impossible. The open letter
raises questions around the role of governments, which have largely been silent
regarding the potential harms of extremely capable AI tools.
If
anything is to change, governments and national and supra-national regulatory
bodies will need take the lead in ensuring accountability and safety. As the
letter argues, decisions concerning AI at a societal level should not be in the
hands of “unelected tech leaders”.
Governments
should therefore engage with industry to co-develop a global framework that
lays out comprehensive rules governing AI development. This is the best way to
protect against harmful impacts and avoid a race to the bottom. It also avoids
the undesirable situation where governments and tech giants struggle for
dominance over the future of AI.
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