Ethics & Governance: Page

Use of AI in government makes agencies smarter

Government agencies are starting to embrace some of the same AI technologies that typical enterprises use, and many are finding increased efficiencies along the way.

By Kathleen Walch • Aug. 1, 2019

AI in law enforcement is growing, but needs work

AI for police includes numerous different analytics, machine learning and natural language processing technologies, including facial recognition and automated transcription tools.

By Mark Labbe • July 31, 2019

Enterprise consumer relationships are building trust in AI

Transparency is an increasingly important component of consumer trust. If you want to win over consumers whose data is being collected, start with explainability and collaboration.

By Scott Robinson • July 18, 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.

By Kathleen Walch • July 16, 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.

By Ron Schmelzer • July 11, 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.

By Mark Labbe • June 27, 2019

The future scope of chatbots begins with addressing flaws

Chatbots are hot software in the enterprise, but to maintain longevity and relevance, developers need to take a look at the barriers to entry, interface options and NLP issues.

By Kassidy Kelley • June 27, 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.

By Mark Labbe • June 26, 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.

By Mark Labbe • June 12, 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.

By Mark Labbe • May 29, 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.

By Mark Labbe • April 16, 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.

By Ed Burns • April 9, 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.

By George Lawton • April 8, 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.

By Kassidy Kelley • March 29, 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.

By Kathleen Walch • March 12, 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.

By Kassidy Kelley • Feb. 27, 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.

By George Lawton • Feb. 14, 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.

By Mark Labbe • Feb. 11, 2019

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.

By Ed Burns • Dec. 18, 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.

By Mark Labbe • Nov. 28, 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.

By Ed Burns • Aug. 14, 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.

By Kathleen Walch • May 30, 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.

By George Lawton • April 25, 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.

By Ed Burns • April 2, 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.

By Darryl Taft • March 2, 2018