How Do We Use Artificial Intelligence Ethically?

Artificial Intelligence
Ethically?
How Do We Use

© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
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Introduction
Introduction
Artificial intelligence (AI) will continue to have a significant impact on the
development of humanity in the near future. How can we make sure we
address the fundamental ethical questions about how, when, and where AI will
be used?
How Do We Use Artificial Intelligence Ethically?

I’m hugely passionate about artificial intelligence (AI), and I'm proud to say that
I help companies use AI to do amazing things in the world.
But we must make sure we use AI responsibly, so we can make the world a
better place. In this post, I’m going to give you some tips for making sure you
apply AI ethically within your organization.

1. Start with education and awareness about AI.
Communicate clearly with people (externally and internally) about what AI can
do and its challenges. It is possible to use AI for the wrong reasons, so
organizations need to figure out the right purposes for using AI and how to
stay within predefined ethical boundaries. Everyone across the organization
needs to understand what AI is, how it can be used, and what its ethical
challenges are.

2. Be transparent.
This is one of the biggest things I stress with every organization I work with. Every organization
to be open and honest (both internally and externally) about how they’re using AI.
One of my clients, the Royal Bank of Scotland, wanted to use AI to improve some of the services
provide to their clients. When they began their initiative, they were (and continue to be) transparent
and clear with their customers about what data they were collecting, how that data was being used,
and what benefits the customers were getting from it.
When I look at the recent Cambridge Analytica scandal, I feel like a big part of the problem was
Facebook’s lack of transparency about how they were using AI and how they were collecting and
using their customers’ data. A clear AI communication policy could have solved a lot of problems
before they even happened.
Customers need to trust the companies they work with – and that requires full transparency about
how AI fits into the company’s overall strategy and how it affects customers.

3. Control for bias.
As much as possible, organizations need to make sure the data they're using is
biased.
For instance, Google created a huge database of facial images called ImageNet.
Their data set included far more white faces than non-white faces, so when they
trained AIs to use this data, they worked better on white faces than non-white
Creating better data sets and better algorithms is not just an opportunity to use AI
ethically – it’s also a way to try to address some racial and gender biases in the
world on a larger scale.

4. Make it explainable.
Can your artificial intelligence algorithms be explained?
When we use modern AI tools like deep learning, they can be “black boxes” where humans
don’t really understand the decision-making processes within their algorithms. Companies
them data, the AIs learn from that data, and then they make a decision.
But if you use deep learning algorithms to determine who should get healthcare treatment
who doesn't, or who should be allowed to go on parole and who shouldn’t, these are
big decisions with huge implications for individual lives.
It is increasingly important for organizations to understand exactly how the AI makes
and be able to explain those systems. A lot of work has recently gone into the development
explainable AIs. We now have ways to better explain even the most complicated deep
systems, so there’s no excuse for having a continued air of confusion or mystery around your
algorithms.

5. Make it inclusive.
At the moment, we have far too many male, white people working on AI. We
need to make sure the people building the AI systems of the future are as
diverse as our world. There is some progress in bringing in more women and
people of color (POC) to make sure the AI you’re building truly represents our
society as a whole, but that has to go far further.

6. Follow the rules.
Of course, when it comes to the use of AI, we must adhere to regulation.
We are seeing increasing regulation of AI in Europe and in parts of the US.
there’s still a lot of unregulated parts that rely on self-regulation by organizations.
Companies like Google and Microsoft are focusing on using AI for good, and
Google has its own self-defined AI principles.
When I work with organizations, we often put together an ethics council for AI that
acts as the North Star for AI ethics concerns for that company. Whenever an
organization identifies a use case for AI, the ethics council evaluates it for ethical
concerns.

The Organization for Economic Co-operation and Development (OECD), was founded in
1961 to stimulate economic progress, and it includes 37 member countries. The
organization created the OECD AI principles, which are a great starting point for thinking
about how your organization can use AI in ways that benefit people and the planet.
Then AI should be designed in a way that respects laws, human rights, democratic values,
and diversity. AI must function in a robust, secure, and safe way, with risks being
continuously assessed and managed. Organizations developing AI should be held
accountable for the proper functioning of these systems in line with these principles.
The 17 Sustainable Development Goals of the United Nations can also be a great
resource for you as you’re establishing your AI use cases.

If the way you're using AI aligns with OECD principles and the UN Sustainable
Development Goals, you're probably well on your way to ensuring that you're using AI
ethically.
For more information on the ethical and responsible use of AI, check out my YouTube
channel and my website, where you can find hundreds of videos and articles on all of
these topics.

Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
© 2020 Bernard Marr , Bernard Marr & Co. All rights reserved
© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website

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How Do We Use Artificial Intelligence Ethically?

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