The topics of discrimination, fairness, and trustworthy artificial intelligence (AI) are at the center of big data and the AI revolution
While entirely eliminating bias in AI is not possible, it’s essential to know not only how to reduce bias in AI, but actively work to prevent it. Knowing how to mitigate bias in AI systems stems from understanding the training data sets that are used to generate and evolve models.In ...
“We’ve seen companies who are eager to start with AI models without first addressing the existing underlying data,” Ganesan said. “By pulling in diverse, representative data sets, organizations can mitigate biases. Organizations should track data changes and distribution to enhance AI mo...
In previous parts of this series on Rogue AI, we briefly explored what organizations can do to better manage risk across their AI attack surface. And we touched on ways to mitigate threats by creatingtrusted AI identities. We’ve alsocited the great workthat MIT is doing to collect AI risks...
Learn the risks of AI-generated content and how to mitigate them, from misinformation to SEO issues, transparency concerns, and cybersecurity threats. The Upwork Team Published | Oct 18, 2023 Updated | Aug 21, 2024 Share: Content generated by artificial intelligence (AI) is being posted online...
Dinika adds, “If we involve [the people who are affected] in the development of our systems, then we know that they’re able to quickly flick out the problematic issues in our tools. Doing so may help us mitigate them from the point of development rather than when the tool is out th...
As artificial intelligence (AI) continues to expand its reach into virtually every aspect of our lives, an important ethical question arises: how do we ensure that bias is not present inmachine learning? After all, if AI is deeply embedded in technologies that shape our lives and decisions, ...
addressing everything from security to privacy to the integrity and bias of data. The policy must also encompass risk management strategies to identify and mitigate potential pitfalls and unwanted outcomes. Perhaps most crucially, an enterprise-class AI policy will embed mechanisms for continu...
This builds customer trust as they understand what types of problems you’ll use AI to address. Instilling clear principles from the outset helps to mitigate potential bias arising in AI. It guides developers in choosing which problems we can solve with AI that don’t carry societal risk, an...
If you’re reeling from our whirlwind tour of the full scope of the AI bias problem, so am I. But fortunately a strong contingent of AI researchers are working hard to address the problem. They’ve taken a variety of approaches: algorithms that helpdetectandmitigatehidden biases wi...