AI ethics issues
Chatbots and other artificial intelligence technologies that interact with humans raise ethics questions that enterprises can't ignore. Is it acceptable to present a bot as a human? How do you eliminate AI bias? Do organizations need an AI code of ethics? Read what experts have to say on AI ethics issues, whether companies should self-impose an AI code of ethics and more.
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AI ethics issues News
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October 09, 2020
09
Oct'20
The imperative of establishing AI governance
It's hard to ethically manage data for AI models, but AI governance, as well as a strong ethics framework, can help enterprises effectively manage data and models.
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September 25, 2020
25
Sep'20
The deepfake 2020 election threat is real, but containable
Disinformation could harm the 2020 presidential election, and technology simply isn't advanced enough to detect manipulated content, especially deepfakes.
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September 03, 2020
03
Sep'20
Microsoft deepfake software combats election propaganda
Ahead of the 2020 United States presidential election, Microsoft released Video Authenticator, an AI-powered tool to help identify deepfake images and videos.
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August 27, 2020
27
Aug'20
It's time to address AI ethics
Enterprises need to focus on creating and adopting AI ethical guidelines, especially for emerging technologies such as facial recognition and home assistants.
AI ethics issues Get Started
Bring yourself up to speed with our introductory content
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artificial intelligence
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Continue Reading
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How and why are our devices listening to us?
Consumers are utilizing digital voice assistants and smartphones but may not realize how frequently companies listen in and sift through all the data these devices create. Continue Reading
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The peaks and pitfalls of hyper-personalization marketing
As consumers begin to revolt against unlimited personal data collection and usage, the longevity of hyper-personalized communication may be cut short. Continue Reading
Evaluate AI ethics issues Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Bias in machine learning examples: Policing, banking, COVID-19
Human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes and insights. Continue Reading
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In-depth guide to machine learning in the enterprise
Enterprises are adopting machine learning technologies at rapid rates. In this machine learning guide, we break down what you need to know about this transformative technology. Continue Reading
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5 AI risks businesses must confront and how to address them
Some risks associated with implementing AI systems are familiar to enterprise leaders; these five are unique to AI. Here's how to address them. Continue Reading
Manage AI ethics issues
Learn to apply best practices and optimize your operations.
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Machine learning and bias concerns weigh on data scientists
Data scientists are forever vigilant in their desire to identify and eliminate the many forms of bias that can compromise the credibility of machine learning models. Continue Reading
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Responsible AI champions human-centric machine learning
Encompassing ethics, transparency and human centricity, responsible AI is an effective approach to deploying machine learning models and achieving actionable insights. Continue Reading
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Rooting out racism in AI systems -- there's no time to lose
A confluence of events has made this the right time for enterprises to examine how racism gets embedded in AI systems. Is your leadership up to the challenge? Continue Reading
Problem Solve AI ethics issues Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Data science's ongoing battle to quell bias in machine learning
Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading
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Here's how one lawyer advises removing bias from AI
Avoiding bias in AI applications is one of the central challenges in using the technology. Here's some advice on deploying AI technologies in a way that is fair. Continue Reading
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Supervise data and open the black box to avoid AI failures
As AI blooms, marketers and vendors are quick to highlight easy positive use cases. But implementation can -- and has -- gone wrong in cases that serve as warnings for developers. Continue Reading