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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June 29, 2020
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Jun'20
IBM donates AI ethics tools to Linux Foundation
IBM donates open source toolkits AI Fairness 360, Adversarial Robustness 360 and AI Explainability 360 to the Linux Foundation amid calls for more ethical AI.
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May 29, 2020
29
May'20
Contact tracing apps seem effective, but have privacy concerns
Contact tracing mobile applications appear to offer an easier, safer way to track where an infected person has been, but technology could cross a data privacy boundary.
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April 24, 2020
24
Apr'20
Safety vs. privacy in the age of coronavirus raises tech questions
To slow the spread of the coronavirus, governments and organizations are using contact tracing and thermal imaging for fever detection, but these methods carry privacy concerns.
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March 18, 2020
18
Mar'20
Social media platforms ramp up automated content curation
As the new coronavirus continues to disrupt the workforce, social media companies are increasingly using machine learning to automatically detect and remove harmful content.
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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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
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The future of facial recognition after the Clearview AI data breach
The company that controversially scrapes data from social media sites for law enforcement clients announced a data breach. What does it mean for the future of facial recognition? Continue Reading
Manage AI ethics issues
Learn to apply best practices and optimize your operations.
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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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Machine learning ops to lead AI in 2020
The increased usage of pre-trained models, machine learning ops coming to the fore and increased transparency are all poised to lead the new year in AI. Continue Reading
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A year of AI events points to AI predictions for 2020
A thoughtful reflection on the most important AI technology news of 2019 as well as a look to what 2020 may have in store for the world of AI. 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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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
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How to solve the black box AI problem through transparency
Ethical AI black box problems complicate user trust in the decision making of algorithms. As AI looks to the future, experts urge developers to take a glass box approach. Continue Reading