AI Ethics & Governance
Top Stories
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News
16 Oct 2026
Open source and on device: the strategy behind Nvidia’s new AI models
The latest Nemotron 3.5 models show how the AI giant is focusing on reinforcing its own GPU infrastructure while supporting the open source community. Continue Reading
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News
16 Oct 2026
Enterprise controls can't keep up with AI agents
Companies are giving agents more authority, but many are still struggling to track what they can access, what they're doing and how to stop them. Continue Reading
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Feature
16 Jul 2019
How AI in physical security makes public places safer
Deep learning-based tools are increasingly finding a home in physical security to enhance the protection of real-world assets and make public spaces safer. Continue Reading
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Feature
11 Jul 2019
AI in the legal industry focuses on augmenting research
From billable time invoice generation to patent attribute data mining, the implementation of AI in law firms has aided in reducing low-value, time-consuming paralegal work. Continue Reading
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News
27 Jun 2019
Use of AI in government still lags
Adoption of AI in government might lag behind the business world, but some agencies within the government hope to make more use of AI. Continue Reading
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News
26 Jun 2019
Working toward explainable AI
Many constituencies are on a push toward explainable AI algorithms, as AI technologies become more widespread, powerful and relied upon than ever before. Continue Reading
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Feature
12 Jun 2019
How data privacy and marketing coexist when influencing the public
The author of a new book on the intersection of advertising and marketing with AI and data privacy talks about influencing the public with technology. Continue Reading
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Feature
29 May 2019
Human rights advocate talks GDPR, AI and data privacy laws
Human rights advocate Bjørn Stormorken talks about the importance of data privacy laws, and why stronger laws and more data literacy are necessary today. Continue Reading
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Feature
16 Apr 2019
AI bias, for good or ill
Bias in AI algorithms can produce harmful results, but it can also help train models. This third part of a three-part series on AI ethics explains the pros and cons of AI bias. Continue Reading
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Feature
09 Apr 2019
How to address the hidden risks of algorithmic decision making
From biased customer interactions to harmful treatment recommendations, some risks of automated decisions have yet to be resolved. A Wharton School professor has a way out. Continue Reading
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Feature
08 Apr 2019
3 ways to create an AI ethics framework for responsible tech
AI can often reflect the biases and limits of its human developers. Experts say diversity, review boards and a strong AI ethics framework will lead the way toward ethical AI. Continue Reading
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Feature
29 Mar 2019
Address anonymity and data privacy in chatbot security
A key to successful enterprise chatbot security is to program your chatbot to recognize personal or sensitive information and treat it accordingly. Continue Reading
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Feature
12 Mar 2019
AI in accounting boosts compliance and fraud detection
Accounting and finance teams are using AI tools to speed document review and other error-prone processes, which gives a boost to fraud detection and compliance efforts. Continue Reading
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Feature
27 Feb 2019
Trump's AI executive order glosses over data privacy, funding
Trump released his AI executive order two weeks ago, and researchers are continuing to analyze its potential impact on the industry. One thing is certain: AI is about to change. Continue Reading
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Feature
14 Feb 2019
Interpretable AI has benefits beyond compliance
Making AI models more interpretable has a wide range of benefits and shouldn't just be thought of as a compliance exercise, experts at the H2O World conference said. Continue Reading
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Feature
11 Feb 2019
AI regulation stirs as unrestricted AI booms in China
Governments need to start regulating AI as the technology advances, experts say in part one of a three-part series on AI ethics issues around regulation, control and bias. Continue Reading
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Feature
18 Dec 2018
Explainability is no solution to problem of bias in AI
Explainability has been touted as a solution to the problem of biased AI models, but experts say that approach only gets you part of the way to bias-free applications. Continue Reading
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Feature
28 Nov 2018
Compliance.ai uses Tibco Cloud Mashery for API mastery
Compliance.ai, a compliance and regulatory management platform vendor, uses Tibco Mashery to help manage and compile many different APIs and data sources. Continue Reading
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Feature
14 Aug 2018
Algorithmic bias top problem enterprises must tackle
No enterprise today would roll out an obviously biased AI tool, but many remain unaware of the risks of unconscious bias in algorithms, which can produce equally dangerous results. Continue Reading
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Feature
30 May 2018
Addressing the ethical issues of AI is key to effective use
Enterprises must confront the ethical implications of AI use as they increasingly roll out technology that has the potential to reshape how humans interact with machines. Continue Reading
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Podcast
15 May 2018
Avoid bias in algorithms for best AI results
In this podcast, we examine leading thoughts on the problem of AI bias and how to mitigate some of the most common sources of unfair treatment of users of AI applications. Continue Reading
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Feature
25 Apr 2018
GDPR regulations put premium on transparent AI
As the EU's GDPR regulations go into effect, enterprises must focus on building transparency in AI applications so that algorithms' decisions can be explained. Continue Reading
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Podcast
13 Apr 2018
CTO Simon Crosby explains edge intelligence, talks AI uses and risks
Edge intelligence is the newborn child of edge analytics and machine learning. In this podcast, CTO Simon Crosby explains the tech and discusses AI uses, data breaches and more. Continue Reading
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Feature
02 Apr 2018
How to keep your implementation of AI free from algorithm bias
When implementing AI, it's important to focus on the quality of training data and model transparency in order to avoid potentially damaging bias in models. Continue Reading
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News
02 Mar 2018
Expert panel warns developers to beware of AI bias
Despite new development tools to build AI applications, developers must be wary of bias creeping into their systems. Continue Reading
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Feature
15 Feb 2018
Big data throws bias in machine learning data sets
AI holds massive potential for good, but it also amplifies negative outcomes if data scientists don't recognize data biases and correct them in machine learning data sets. Continue Reading