Ethics & Governance: Page

Here’s how one lawyer advises removing bias from AI

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.

By Emma Maconick • April 15, 2020

Using AI in AML fights fraud while protecting privacy

Money laundering and fraud remain a risk for financial institutions, but AI can act as a useful tool against a constantly evolving financial enemy.

By Joseph Carew • April 2, 2020

The state of AI defined by global adoption and regulation

Cognilytica reports on AI adoption by both countries and companies across the globe, as well as the former's overall strategies and regulation frameworks.

By Ron Schmelzer • March 4, 2020

The pope, with Microsoft and IBM, calls for AI ethics

The Pontifical Academy for Life has issued new guidelines for ethical AI that call for artificial intelligence technology to be explainable, trusted and secure.

By Mark Labbe • March 2, 2020

EU AI regulation guidelines worry vendors

The EU released AI regulation guidelines that demand AI systems in high-risk areas are transparent and have human oversight. Some vendors are worried.

By Mark Labbe • Feb. 20, 2020

IBM’s Policy Lab calls for AI regulation

Launched during the Davos World Economic Forum, IBM's Policy Lab seeks to unite governments and businesses on creating and adopting more regulation of AI.

By Ed Scannell, Mark Labbe • Feb. 7, 2020

The complex nature of regulating AI

Regulating AI is a difficult task because the technology changes rapidly. Governments must be able to employ preventative regulation to prevent any misuse.

By Ron Schmelzer • Dec. 27, 2019

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.

By George Lawton • Dec. 24, 2019

AI trends 2020 outlook: More automation, explainability

Top AI trends for 2020 are increased automation to extend traditional RPA, deeper explainable AI with more natural language capacity, and better chips for AI on the edge.

By Mark Labbe • Dec. 12, 2019

AWS, NFL machine learning partnership looks at player safety

A new AWS and NFL partnership aims to use AI and machine learning to reduce the risk of injuries to players. The partnership builds off of the companies' Next Gen Stats agreement.

By Mark Labbe • Dec. 6, 2019

Google Cloud Explainable AI aims to clear up outputs

A new Google product suite enables users to create and deploy more interpretable machine learning models with output visualizations, feature attribution and evaluation tools.

By Mark Labbe • Nov. 22, 2019

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.

By Kassidy Kelley • Nov. 19, 2019

Anaheim PD explores facial recognition for law enforcement

Using a facial recognition platform from Veritone, the Anaheim Police Department can more quickly identify suspects captured on camera by comparing photos with booking photos.

By Mark Labbe • Nov. 14, 2019

Training data in facial recognition use cases reveals bias

Applications of facial recognition technology show incredible promise in law enforcement and personal privacy, but the risks are holding enterprises back from adoption.

By Kathleen Walch • Nov. 8, 2019

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.

By Mark Labbe • Oct. 10, 2019

Government AI strategy includes tech transfer to private sector

The Department of Energy's chief commercialization officer works with the DoE's national laboratories on transferring AI and other technologies to the private sector.

By Shaun Sutner • Oct. 7, 2019

Ethical concerns of AI call growing adoption into question

AI tools are getting easier to use every day, putting powerful tools into the hands of potentially malicious users. The time to think about the ethics of AI advances is now.

By Ed Burns • Oct. 3, 2019

Energy secretary Rick Perry touts U.S. government AI efforts

The U.S. government is ramping up AI research and development efforts to try to stay ahead of China in both public and private sector AI efforts.

By Shaun Sutner • Oct. 3, 2019

Clashes between AI and data privacy affect model training

Enterprises' lax data rules reveal weaknesses around AI and model training -- particularly machine learning's reliance on unrestrained big data collection.

By Ron Schmelzer • Sept. 23, 2019

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.

By Mark Labbe • Sept. 19, 2019

Collaborative robots’ safety stalls enterprise implementation

Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk.

By George Lawton • Sept. 16, 2019

Microsoft India AI workshops to upskill government employees

Microsoft India partnered with the government of India to launch a new training program for government employees on AI, data governance and cloud computing.

By Mark Labbe • Aug. 28, 2019

Enterprises work toward AI trust and transparency

If ignored, a lack of trust in AI algorithms could diminish user adoption. To remedy this risk, enterprises are working to make their applications more transparent and explainable.

By Kathleen Walch • Aug. 28, 2019

IBM interprets machine models with AI Explainability kit

IBM's open source AI Explainability 360 toolkit packages algorithms and training examples to help humans better understand the decision-making process of machine learning models.

By Darryl Taft • Aug. 9, 2019

Enterprises should start developing an AI ethics framework

As enterprises begin to deploy AI, they should focus on AI and ethics issues, as well as data privacy, and begin to create policies and guidelines around them.

By Mark Labbe • Aug. 8, 2019