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AI ethics issues News
June 29, 2020
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.
May 29, 2020
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.
April 24, 2020
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.
March 18, 2020
As the new coronavirus continues to disrupt the workforce, social media companies are increasingly using machine learning to automatically detect and remove harmful content.
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Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Continue Reading
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
As consumers begin to revolt against unlimited personal data collection and usage, the longevity of hyper-personalized communication may be cut short. Continue Reading
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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
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
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
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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
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
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
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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
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
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