ML Assurance Newsletter

Issue
18
-
May 25, 2022

Trust & AI: Must Reads

“If ethical AI is not considered a business priority across every part of the business, the reputational risks could be significant.”

In this article Lara Williams makes observations on the slow speed, so far, at which companies are walking the walk (and not just talking the talk) when it comes to actually implementing ethical AI policies. Williams reviews important information regarding AI regulatory pressure that continues to mount, as well as other potential massive risks businesses face outside the scope of regulation. 

Another concern is a lack of diversity in the field. A recent IBM survey found that “AI teams are still substantially less diverse than their organisations’ workforces: 5.5 times less inclusive of women, four times less inclusive of LGBTQ+ individuals and 1.7 times less racially inclusive.”

Ethics & Responsibility

“The first thing to note about the EU AI Act is that it does not apply exclusively to EU-based organizations or citizens. The ripple may be felt around the world in a similar way to the effect that the GDPR had.”

George Anadiotis dives into the latest information about the EU AI Act in his recent article for ZDNet. Anadiotis covers how the EU defines AI, the current status of the EU AI Act, the scope of the act, and how it will impact organizations on a global scale.

Regulation & Legislation

In his recent VentureBeat article Arthur Cole examines a critical element in explainable AI: trust. Without trust, immense doubt and risk take hold where AI is instead meant to bring true value to the enterprise.

However, to achieve trust in AI organizations must go beyond explainable to understandable AI.

AI Governance & Assurance
Ethics & Responsibility

“While AI can provide businesses competitive advantage in a variety of ways, from uncovering overlooked business opportunities to streamlining costly processes, the downsides of AI without adequate attention paid to AI governance, ethics, and evolving regulations can be catastrophic.”

In this CIO.com article Maria Korolov addresses six real-world issues that every executive must address regarding company AI strategies, including: 

  • PR diasters
  • Negative social impact
  • Systems that don’t pass regulatory muster

Read the full article to learn more.

AI Governance & Assurance
Ethics & Responsibility

“Technology revolutions often move through predictable phases. What begins in science laboratories is put to work and scaled by organizations—and then those organizations contend with how to manage the technology toward its greatest value. Today, artificial intelligence (AI) has reached this third phase, and to capture the most potential benefit, we are called to consider AI through the lenses of effective governance, ethics and trust.”

In this recent article for Forbes, author and executive Beena Ammanath covers some of the reasons why AI trust is a difficult problem to solve.

  • Lack of depth in conversations around AI ethics
  • Regulation often doesn’t keep pace with innovation
  • A need for AI governance frameworks that incorporate people, processes, and technology


Read the full article in Forbes to learn more.

AI Governance & Assurance
Ethics & Responsibility

“When technology complements humans...it increases wages and leads to more widely shared prosperity.”

At a recent field hearing of the U.S. Chamber AI Commission, the topic of the day was Automation vs. Augmentation and the vast opportunities as far as job creation that will be possible via the field of AI.

The discussion also included the importance of AI trust, how to leverage technology for the benefit of humans and avoid potential harm.

“Artificial intelligence experts say policymakers, technologists, and business leaders must work together to ensure that the benefits of artificial intelligence are spread to all, while unintended harms are mitigated.” Learn more on the U.S. Chamber of Commerce webpage.

Ethics & Responsibility
Regulation & Legislation