Ethics & Governance: Page

Trustworthy AI explained with 12 principles and a framework

To be considered trustworthy, AI systems should meet these 12 principles and employ a four-step framework to ensure the use of AI is ethical, lawful and robust.

By Cortnie Abercrombie • Sept. 9, 2024

What is machine learning bias (AI bias)?

Machine learning bias, also known as 'algorithm bias' or 'AI bias,' is a phenomenon that occurs when an algorithm produces results that are systemically prejudiced due to erroneous assumptions in the machine learning (ML) process.

By Alexander Gillis, Mary Pratt, Stephen Bigelow • Sept. 9, 2024

What business leaders should know about EU AI Act compliance

AI compliance expert Arnoud Engelfriet shares key takeaways from his book 'AI and Algorithms,' describing the EU AI Act's effects on innovation, risk management and ethical AI.

By Olivia Wisbey, Technics Publications • Sept. 6, 2024

Former OpenAI scientist raises $1B for AI safety venture

Ilya Sutskever's new company is focused on providing safe artificial general intelligence. While some see a need for it, others find it distracting.

By Esther Shittu • Sept. 4, 2024

OpenAI-Condé Nast searchGPT deal addresses copyright concerns

The AI vendor continues to expand its SearchGPT prototype by partnering with news publisher Condé Nast. It also introduced fine-tuning for its latest model.

By Esther Shittu • Aug. 21, 2024

15 AI risks businesses must confront and how to address them

These risks associated with implementing AI systems must be acknowledged by organizations that want to use the technology ethically and with as little liability as possible.

By Mary Pratt • Aug. 20, 2024

Generative AI fuels growth of online deepfakes

As generative AI systems and voice cloning apps grow, organizations are seeing a rise in fraudulent calls. Organizations need to be vigilant and plan to deal with these threats.

By Esther Shittu , Shaun Sutner • Aug. 19, 2024

New deepfake audio detector released as U.S. election nears

The tool can identify AI-generated speech. The release follows wide circulation of deepfakes of vice president Kamala Harris and X owner Elon Musk.

By Esther Shittu • Aug. 15, 2024

Dataiku expands LLM Mesh with governance layer

The vendor provides a marketplace for enterprises similar to those of the major cloud providers. However, it does not have its own LLM, but offers many others in its marketplace.

By Esther Shittu • Aug. 13, 2024

The dangers of voice deepfakes in the November election

The growth of generative AI has led to more audio cloning technology. This could affect the U.S. election. Recent incidents show that existing safeguards are not effective.

By Esther Shittu • Aug. 7, 2024

Few-shot learning explained: What you should know

Training data quality and availability aren't always a given in machine learning projects. When data is limited, costly or nonexistent, few-shot learning can help.

By Stephen Bigelow • Aug. 1, 2024

Machine learning regularization explained with examples

Regularization in machine learning refers to a set of techniques used by data scientists to prevent overfitting. Learn how it improves ML models and prevents costly errors.

By George Lawton • July 27, 2024

New C3 AI application aims to help government apply GenAI

The application will help contact centers find information about health benefits and real estate. The vendor introduced the new application with Google Cloud.

By Esther Shittu • July 17, 2024

Microsoft, Google make moves amid regulators’ AI scrutiny

Microsoft is withdrawing stepping down from the OpenAI board. Google has reportedly disbanded its machine learning privacy team. Both vendors face investigations.

By Esther Shittu • July 11, 2024

Attributes of open vs. closed AI explained

What's the difference between open vs. closed AI, and why are these approaches sparking heated debate? Here's a look at their respective benefits and limitations.

By George Lawton • July 8, 2024

A short guide to managing generative AI hallucinations

Generative AI hallucinations cause major problems in the enterprise. Mitigation strategies like retrieval-augmented generation, data validation and continuous monitoring can help.

By Will Kelly • July 2, 2024

AI, copyright and fair use: What you need to know

As AI technology advances, U.S. and international copyright laws are struggling to keep pace, raising legal and ethical questions about ownership and AI-generated content.

By Ed Scannell • June 14, 2024

How to craft a responsible generative AI strategy

Generative AI's potential in the enterprise must be balanced with responsible use. Without a clear strategy in place, the technology's risks could outweigh its rewards.

By Kashyap Kompella • June 10, 2024

Experts: AI digital humans come with benefits -- and risks

Businesses using AI digital humans in sales and marketing can cut costs through efficiency. However, experts warn of the legal risks and public distrust of the technology.

By Antone Gonsalves • May 28, 2024

AI companies losing public trust in safety

Researchers find that more than half of Americans polled believe AI companies aren't considering ethics when developing the technology, and nearly 90% favor government regulations.

By Antone Gonsalves • May 23, 2024

New IBM Watsonx GenAI focuses on enterprises, governance

The veteran tech giant, with deep roots in AI, bases its new AI strategy on open source, multimodel support and helping businesses modernize their code and IT operations.

By Shaun Sutner • May 22, 2024

Balancing generative AI cybersecurity risks and rewards

At the MIT Sloan CIO Symposium, enterprise leaders grappled with AI's benefits and risks, emphasizing the need for cross-team collaboration, security controls and responsible AI.

By Olivia Wisbey • May 17, 2024

OpenAI deepfake detector ‘belated but welcome’

The GenAI vendor's image-identifying tool has been warmly received, though some say it's belated, with elections around the world this year. The vendor also joined C2PA.

By Shaun Sutner • May 9, 2024

Salesforce open model AI strategy aims for trust, automation

The CRM and CX giant is leaning on generative AI for sales and customer service applications and is aiming to ensure that users can trust the output of large language models.

By Shaun Sutner , Esther Shittu • May 6, 2024

Beyond AI doomerism: Navigating hype vs. reality in AI risk

As AI becomes increasingly widespread, viewpoints featuring both sensationalism and real concern are shaping discussions about the technology and its implications for the future.

By Olivia Wisbey • April 22, 2024