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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January 08, 2020
08
Jan'20
White House issues guiding principles for AI regulations
While the recommendations for AI regulation in the White House memo are loose, they appear to show the government is beginning to embrace AI, and could be a start toward oversight.
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October 10, 2019
10
Oct'19
As more push for explainable AI, companies add features
As businesses demand more explainable AI, vendors such as IBM and DarwinAI are introducing new features to help break down for business users how AI systems work.
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October 02, 2019
02
Oct'19
Hiring algorithms prove beneficial, but also raise ethical questions
AI-capable tools in recruiting are being adopted by large users, such as Hilton and Delta Air Lines. The tools can cut recruiting time and costs, but they also raise questions about how to vet them.
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September 19, 2019
19
Sep'19
Organizations hire ethicists for AI ethical concerns
As organizations wrestle with AI ethical concerns, they need to create AI ethicist roles or develop teams to consider issues around data governance, data privacy and AI ethics.
AI ethics issues Get Started
Bring yourself up to speed with our introductory content
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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
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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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UX defines chasm between explainable vs. interpretable AI
From deep learning to simple code, all algorithms should be transparent. The frameworks of AI interpretability and explainability aim to make machine learning understandable to humans. 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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Companies focused on building sustainable AI in 2020
Fewer companies are deploying AI enterprise-wide in 2020 because of universal underestimation of investments and transformation required to have a rounded AI strategy. Continue Reading
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How to build a chatbot with personality and not alienate users
Adding personality to a chatbot can push it toward the uncanny valley and raises ethical questions. But enterprises can make their bots more engaging, while avoiding these hurdles. Continue Reading
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How Getty Images reduces bias in AI algorithms to avoid harm
In applications from internal job recruiting to law enforcement technology, AI bias is a widespread issue. Here's what enterprises can do to reduce bias in training and deployment. Continue Reading
Manage AI ethics issues
Learn to apply best practices and optimize your operations.
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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
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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
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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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
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AI for accessibility helps people with disabilities
AI for people with disabilities is making a meaningful difference in their ability to navigate the world and participate in all the activities of daily life. Continue Reading
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AI taking jobs is not a concern for certain workers
AI and job loss may turn out to be among the biggest stories of this century, but workers in certain fields don't have nearly as much to worry about as others. Continue Reading