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 1. Pro


ETHICAL AI: CONSIDERATIONS AHEAD OF REGULATIONS

News
By Alex McMullan
published 1 hour ago

Exploring the responsible design and development of AI





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The AI leviathan continues to tower over every datacenter, with organizations
racing to deploy AI based solutions for immediate benefits today, or putting the
infrastructure and models in place to reap an aspirational return from research
projects in the long run. Regardless of where an organization is on its AI
journey, the breakneck speed at which this technology is advancing has left
regulators scrambling to catch up in terms of how AI should be moderated,
ensuring the technology is used ethically. There is a pressing need to clarify
accountability in cases of errors or unintended consequences. There’s also a
clear need for the development of legal frameworks that provide guidelines for
determining responsibility when AI systems cause harm or fail to meet the
expected standards.


Alex McMullan
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CTO International at Pure Storage.


WHAT IS ETHICAL AI?

Ethical AI means supporting the responsible design and development of AI systems
and applications that are not harmful to people and society at large. While this
is a noble goal, it’s not always easy to achieve and requires in-depth planning
and constant vigilance. For developers and designers, key ethical considerations
should at a minimum include the protection of sensitive training data and model
parameters from manipulation. They should also provide real transparency into
how AI models work and are impacted by new data, which is essential to ensuring
proper oversight. Regardless of whether ethical AI is being approached by the
C-level of a private business, government or regulatory body, it can be
difficult to know where to start.


TRANSPARENCY AS THE FOUNDATION



When planning AI deployment strategies, transparency should always be the
starting point and the foundation on which all applications are built. This
means providing insight, internally and externally, into how AI systems make
decisions, how they arrive at outcomes and what data they use to do this.
Transparency and accountability are essential for building trust in AI
technologies and mitigating potential harms. Insight into an AI model’s
mechanics including the data used to train it before it is applied is essential.
When putting this into practice, there are ethical, privacy and copyright issues
which must be addressed so the boundaries are clear when AI is deployed,
especially when it comes to application in sectors such as healthcare. In the UK
for example, the Information Commissioner’s Office has produced useful
guidelines for ensuring transparency in AI. The repeatability of results remains
a key area of focus to ensure that conscious or unconscious bias does not play a
part when training a model, or when using a trained model for inference.





CONCERN OVER AGGREGATED DATA PROFILES

Balancing privacy concerns with potential societal benefits will be an ongoing
discussion as AI technologies evolve and there will always be trade-offs between
what individuals give up in data versus what is gained by society. Personal data
like shopping, fitness and healthcare records could be combined and used
together, raising privacy and insurance risks for individuals. This is because
aggregated and linked data sources can reveal an unprecedented level of detail
about people's lives, behaviors and vulnerabilities. As more data streams are
combined, the value of the aggregated profile is much higher, allowing for
greater and potentially more targeted influence over individuals. Security of
personal data becomes all the more important given the risks of data breaches
and theft when so much valuable information is collected in one place. The need
for data stewardship and transparency on sourcing and consent practices is
fundamental. Ensuring personal data is handled securely and for agreed purposes
will remain paramount to maintaining public trust in applications of this
powerful technology.

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REGULATION ON THE HORIZON

Ultimately, ethical AI practices will require external guidance and the
development of agreed standards. After all, organizations and commercial
enterprises are a part of society – not separate from it. The development of
globally agreed ethical standards for AI is paramount. As the technology becomes
ever more integrated internationally, finding workable solutions in this area
will clearly be important. Yet, there are substantial obstacles to
implementation, given divergent societal and legal views. Starting with areas of
broad consensus, like fundamental rights and safety, could help make initial
progress even if full harmonization proves elusive for now. It’s encouraging
that governments are taking a leadership stance in this area, through
participation in international summits, including last year’s AI Safety Summit
Hosted in the UK, the AI Seoul Summit 2024 and the upcoming Paris Cyber Summit.



Any legislation resulting from regulatory decisions on AI must address concerns
regarding liability. Legal frameworks need to be developed to outline guidelines
for determining responsibility when AI systems cause harm or fail to meet the
expected standards. Biases in AI models, often unintentionally perpetuated
through biased training data, raise concerns about the potential reinforcement
and perpetuation of societal inequalities. The ethical considerations
surrounding AI are not secondary concerns but fundamentally required pillars
that will shape the responsible development and deployment of AI technologies in
the future.

International cooperation will be crucial, as AI technologies are inherently
global. Looking to international precedents like maritime law for universal
standards is potentially a good starting point. While it is encouraging that
addressing AI ethics is being increasingly recognized as an urgent priority
requiring coordinated global action, we need to speed up our efforts to see
tangible change within the next five years or we could hurtle past the point of
no return, reaping unthinkable consequences on the back of fundamentally flawed
and unethical AI.


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AI REGULATION BENEFITS EVERYONE

AI is rapidly becoming pervasive in society and doing so in a nascent regulatory
environment. We cannot afford to wait to regulate this technology, but at the
same time, we must acknowledge that government policy and legislation takes time
to formulate and to be approved. International agreements are also likely to
take considerable time to be drafted and implemented. Any organization found to
be using AI unethically, once regulations are rolled out, will face reputational
damage and a loss of trust from the public. That’s reason enough for
organizations to assess their use of AI now, ensuring they're applying ethical
and transparent processes to their AI technologies and projects.

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This article was produced as part of TechRadarPro's Expert Insights channel
where we feature the best and brightest minds in the technology industry today.
The views expressed here are those of the author and are not necessarily those
of TechRadarPro or Future plc. If you are interested in contributing find out
more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

Alex McMullan
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Alex McMullan, CTO International, Pure Storage.

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