Algorithmic Bias Quotes

With artificial intelligence, we are summoning the demon. In all those stories where there is the guy with the pentagram and the holy water, … he’s sure he can control the demon. But it doesn’t work out.

Algorithms are opinions embedded in code. It’s really different from what you think most people think of algorithms. They think algorithms are objective and true and scientific. That’s a marketing trick. It’s also a marketing trick to intimidate you with algorithms, to make you trust and fear algorithms because you trust and fear mathematics. A lot can go wrong when we put blind faith in big data.

As AI becomes the new infrastructure, flowing invisibly through our daily lives like the water in our faucets, we must understand its short- and long-term effects and know that it is safe for all to use.

I could do a whole talk on the question of is AI dangerous.' My response is that AI is not going to exterminate us. It's a tool that's going to empower us.

And I think the greatest danger that AI poses isn't so much these anthropomorphic beings who look like us and are beguiling are going to fool us. It's the fact that a intelligence without a body or corporeal form will fool us into trusting it with data, which we seem to think is... it has no repercussions.

AI is a tool. The choice about how it gets deployed is ours.

Using MO to link crimes can be problematic.

While I worry about an erosion of truth, I don’t think people want to live in a world where you can only say things that tech companies decide are 100 percent true.

Only by developing a deeper understanding of AI systems as they act in the world can we ensure that this new infrastructure never turns toxic.

I think Facebook has a lot of work to do to make sure people are seeing meaningful things and not garbage.

If you're not thinking about the way systemic bias can be propagated through the criminal justice system or predictive policing, then it's very likely that, if you're designing a system based on historical data, you're going to be perpetuating those biases.

There are many valid concerns about AI, from its impact on jobs to its uses in autonomous weapons systems and even to the potential risk of superintelligence.

As we continue to apply AI to new fields, ethical dilemmas will arise and the answers will not be clearly defined.

In 2017, there was a sudden recognition of several adverse societal consequences of information technology, from job losses due to automation to manipulation of public opinion, with significant political consequences.

We urgently need more due process with the algorithmic systems influencing our lives. If you are given a score that jeopardizes your ability to get a job, housing, or education, you should have the right to see that data, know how it was generated, and be able to correct errors and contest the decision.

You have to teach your algorithm what it can do and what it cannot do because, otherwise, there is a risk that the algorithms will learn the tricks of the old cartels.

Does Facebook behave like a tool in my hand, or a firehose designed to spew at me in accordance with other peoples' agendas? Concretely: can I write my own client to present a filtered view of the Facebook stream, or have other people do that for me?

America can have social media, or we can have a healthy democracy — but it might have been foolish to think we could have both for long.

Facebook is weird. They have all of these seemingly random rules that I'm sure make sense to them, but don't make sense to me or any people.

I would argue that one of the major problems with our blind trust in algorithms is that we can propagate discriminatory patterns without acknowledging any kind of intent.

I believe in human-centered AI to benefit people in positive and benevolent ways.

There is no such thing as transparent intelligence.

I wonder which is ultimately more creepy: shopping at Amazon or using Facebook?

I am part of the World Economic Forum Global Council on Robotics and AI, and we spend a fair amount of our time together as a group discussing ethics, best practices, and the like.

What are the important problems of your field?