Anne, thank you so much for being here.
What are some of the biggest risks organizations face when it
comes to using GenAI?
So GenAI
systems have to be proficient, so they have to bring the
intended value to the user.
They have to be safe and equitable.
They have to be secure.
And, of course, they have to be compliant with regulation, for
example, the regulation provided by the EU AI Act.
And systems that don't, aren't tested across all of these four
dimensions bring risks to the organizations that they are
actually employing.
So to expand on that a little bit, how can these companies
really make sure their systems are both innovative and reliable?
So they should really test and evaluate them across these
dimensions that I mentioned: proficiency, safe and equitable,
and secure.
And we, as BCG X, have built an open-source
solution--ARTKIT--which really helps in in doing that and
automating that to some extent by, you know, combining
automation together with human test-and- evaluation capabilities.
So what can companies do to build and also maintain customer trust?
For customer trust, I think that transparency is extremely important.
So customers will need to know: Do I interact with an AI, or do
I interact with a human?
And that's, by the way, also something that is necessary from
a perspective of the EU AI Act, for example, yeah?
So transparency is key.
But, then of course, at the same time, it is exactly reiterating
the points: the systems have to be helpful
for the customer, they have to be free of hate speech, they
have to be free of discrimination, and they also
have to be safeguarding personal data, for example.
Thank you so much.
Thank you.