Ethics & Governance: Page

Nvidia acquisition of Arm faces industry, regulatory hurdles

Nvidia's acquisition of Arm Ltd. could change the chipmaker landscape and is reportedly raising industry and regulatory eyebrows.

By Makenzie Holland • Feb. 19, 2021

CTO on the need for AI ethics and diversity

A CTO talks about the importance of diverse data sets when creating AI models and how a lack of diversity can create bias in systems.

By Mark Labbe • Feb. 19, 2021

Tackling the AI bias problem at the origin: Training data

Though data bias may seem like a back-end issue, the enterprise implications of an AI software using biased data can derail model implementation.

By Lisa Morgan • Jan. 27, 2021

Diverse talent pools and data sets can help solve bias in AI

Bringing historically underrepresented employees into critical parts of the design process while creating an AI model can reduce or eliminate bias in that model.

By Mark Labbe • Jan. 15, 2021

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.

By Mark Labbe • Jan. 12, 2021

Doubts about Trump video show how hard deepfakes are to detect

Some Twitter users insist that a recent video of President Trump admitting his defeat in the election is a deepfake, although there's no proof. Deepfakes are difficult to detect.

By Mark Labbe • Jan. 8, 2021

DataRobot releases new feature to detect AI bias

DataRobot is the latest AI vendor to address AI bias, releasing a new feature to help organizations detect and prevent bias in their models.

By Mark Labbe • Dec. 15, 2020

Amazon SageMaker Clarify aims to mitigate bias in machine learning

AWS looks to tackle machine learning bias with a new a new tool that works with Amazon SageMaker products to help developers and users better detect and eliminate AI bias.

By Mark Labbe • Dec. 8, 2020

Hundreds support former Google AI ethics researcher Timnit Gebru

A prominent AI ethics researcher said she was unfairly fired by Google after sending an email to colleagues critical of the way Google treats women and people of color.

By Mark Labbe • Dec. 4, 2020

Insurance provider uses AI for legal to manage contracts

The legal team at Asurion, a major insurance provider, kept its documents spread out across filing cabinets, hard drives and the cloud. It turned to an AI platform to better manage them.

By Mark Labbe • Oct. 26, 2020

Establishing AI governance in a business

It's hard to ethically manage data for AI models, but AI governance, as well as a strong ethics framework, can help enterprises effectively manage data and models.

By Mark Labbe • Oct. 9, 2020

The deepfake 2020 election threat is real, but containable

Disinformation could harm the 2020 presidential election, and technology simply isn't advanced enough to detect manipulated content, especially deepfakes.

By Mark Labbe • Sept. 25, 2020

Microsoft deepfake software combats election propaganda

Ahead of the 2020 United States presidential election, Microsoft released Video Authenticator, an AI-powered tool to help identify deepfake images and videos.

By Mark Labbe • Sept. 3, 2020

Responsible AI champions human-centric machine learning

Encompassing ethics, transparency and human centricity, responsible AI is an effective approach to deploying machine learning models and achieving actionable insights.

By Ben Cox • Aug. 31, 2020

It’s time to address AI ethics

Enterprises need to focus on creating and adopting AI ethical guidelines, especially for emerging technologies such as facial recognition and home assistants.

By Mark Labbe • Aug. 27, 2020

Bias in machine learning examples: Policing, banking, COVID-19

Human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes and insights.

By Lisa Morgan • Aug. 25, 2020

Does technology increase the problem of racism and discrimination?

According to a publication from the MIT Technology Review, technology promotes racism. Most facial recognition algorithms discriminate against the Black population. And even certain concepts or technological terminology tend to be offensive, highlighting "white supremacy."

By Lizzette Pérez Arbesú • Aug. 17, 2020

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.

By Ron Karjian • Aug. 11, 2020

Understanding how deep learning black box training creates bias

Bias in AI is a systematic issue that derails many projects. Dismantling the black box of deep learning algorithms is crucial to the advancement and deployment of the technology.

By Scott Robinson • June 30, 2020

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.

By Mark Labbe • June 29, 2020

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.

By Mark Labbe • May 29, 2020

Pegasystems releases Ethical Bias Check to cut down on AI bias

Pegasystems has embedded a new tool to combat AI bias in its Pega Customer Decision Hub. The tool can alert users to potential biases before they deploy system changes.

By Mark Labbe • May 19, 2020

Automated data governance vendor Immuta gets key update

An update to Immuta's automated data governance enabled one of its users to better anonymize its consumers' data and control who has access to it.

By Mark Labbe • May 8, 2020

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.

By Mark Labbe • April 24, 2020

4 explainable AI techniques for machine learning models

At its core, AI is a complex modeling process with layers of information. In order to be able to explain the algorithm's decision-making process, start with its input data.

By George Lawton • April 21, 2020