Responsible AI focuses on developing and deploying artificial intelligence ethically, transparently, and with societal benefit, acknowledging significant progress but also the ongoing challenges and the need for best practices.
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responsible AI refers to developing and
using AI in ways that are ethical
trustworthy and socially responsible
lots of developers businesses and
governments care about this and have
been having conversations and also been
working hard to make sure that AI is
built and used
responsibly because of all this
attention and effort on responsible AI
we've actually made quite a lot of
progress on this in the last few years
with for example many governments and
companies publishing Frameworks for
responsible AI but a lot of work Still
Remains let's take a look at what
responsible AI means while we're still
figuring out a lot of details of how to
build responsible AI some common themes
have emerged these are some of I think
the key dimensions of implementing
responsible AI first is fairness to
ensure the AI doesn't perpetuate or
amplify biases transparency to make sure
AI systems and the decisions are
understandable to the stakeholders to
the people
impacted privacy protecting user data
and ensuring
confidentiality security safeguarding AI
systems for malicious attacks and LLY
ethical use ensuring the AI is used for
beneficial purposes one of the
challenges of these Dimensions or these
principles is that the implementation is
not always straightforward for example
for I think at least a couple thousand
years now Humanity has been debating
what is ethical and what is not ethical
there is unfortunately no clear
mathematical definition of ethical
versus unethical Behavior although of
course there are many clear-cut cases as
well but that's why for individuals
organizations even countries to adopt
responsible AI there are certain
emerging best practices to Hope have the
discussion and debate that will lead to
better and more responsible decisions
even when sometimes the right thing to
do could be ambiguous I want to share a
few tips first I think is important to
build a culture that encourages
discussion and debate on ethical issues
so if someone on your team has a concern
about the use of responsible AI it'd be
great if they have the freedom to raise
that issue to enable the team to maybe
make a better decision second tip is to
brainstorm either by yourself or with
your team or with an even broader group
of stakeholders how things could go
wrong a found on many projects that this
brainstorming can help identify
potential problems and allow the team to
mitigate them in advance a checklist for
brainstorming could be the five
Dimensions I described on the previous
slide could the AI system have issues
with fairness transparency privacy
security or ethical use for example on
some of the projects I've worked on my
team has brainstormed in advance if the
LM we deployed could have fairness
issues such as if it might exhibit some
of the biases that you saw earlier in
discourse finally I encourage you to
work over diverse team and include
perspectives from all stakeholders
impacted by the AI system for many
projects seeking a diverse set of
opinions as well as speaking with people
that could be quite different than
myself has allowed my team to understand
better the impact of an AI system and
led us to make better decisions for
example Building Systems in healthcare I
found that talking to patients and
doctors gave perspectives different in
mind and really changed the direction we
took our projects in and working on
retail applications talking to some of
the customers as well as the sellers
gave my team new ideas that we wouldn't
have had otherwise and I think this
pattern is true for many projects if you
work in a specific industry such as
Healthcare or Finance or me media OR
tech there may be emerging best
practices for responsible AI specific to
your industry they could be useful to
consult as well as you embark on your
project I think we all want to use AI to
make people better off there have been a
few times that I've kill projects that I
assess to be financially sound on
ethical grounds as you decide what to
work on and what not to work on I hope
you keep on considering responsible Ai
and only work on projects that you think
are ethical and that make people better
off and now we're approaching the end of
this course let's go to the next video
to see a summary of what we've covered
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