Building Trust in Trustworthy AI

In this edition, I will cover Creating Trust in AI as well as

Essential Pillars in Building Trust in Trustworthy AI : Pillar # 3 - Audit

Why do we need to trust AI?

You may have recognized the double helix dna symbol in "Trusted AI" above, to highlight the image as well as the premise of trust in these highly impactful systems start at the basic building level and integrated into the very DNA and fabric. I base this on on my twenty five years of building holistic risk based implementations and strategies that encompassed entire organizations from a Security, Privacy and Risk perspective. A recurring business fact is the focus on bottom line and business growth with societal or business impact being a lower priority if at all.

We have to change that mindset now and adopt a conscientious view that goes beyond financial benefit. Cognizance at a systemic and every facet of an organization on the creation, adoption and implementation of systems such as AI. At the DNA level.

Creating Trust in AI is challenging and continues to be a challenge most notably due to factors such as Opacity.

Lets look at some ways of mitigating that, read this article from MIT Sloan Management Review: AI programs, ML programs should be supplemented with Explainability modules for transparency and fairness.

"Stakeholders need to believe that AI programs are accurate and trustworthy. Artificial intelligence explainability can help."

https://mitsloan.mit.edu/ideas-made-to-matter/why-companies-need-artificial-intelligence-explainability

Essential Pillars in Building Trust in Trustworthy AI

In previous editions I have described the essential pillars of Trustworthy AI :

Security, Privacy, Integrity, Transparency (my AI TIPS model at the core) with Audit, Regulations, Explainability and accountability as governance pillars.

Essential Pillars in Building Trust in Trustworthy AI : Pillar # 3 - Audit

Trusted AI's?Pamela Gupta's talk with?ForHumanity's Ryan Carrier. An in depth conversation on the value and risk of audit in AI.

This is a must see session as we cover a lot of important areas in a very natural easy flowing conversation on topics such as:

1. Intellectual Property protection for AI audit;

2. Must know facts in choosing an AI auditor;

3. Risk an audit can pose for an organization and mitigation;

4. Positioning audit for intended AI business outcomes..

Cybersecurity is complex but when it comes to AI cybersecurity the challenge is exponentially larger..

It was a pleasure to join and lead a discussion with Arvid Kok NATO Communications and Information Agency (NCI Agency) and Marissa Zhou, M, PhD 埃森哲 on Is AI a boon or bane for cybersecurity? Money Laundering, Fraud + Financing Terrorism.

At World Summit AI in Amsterdam, the world’s leading and largest AI summit that gathers the global AI ecosystem of Enterprise, Big Tech, Startups, Investors and Science, it was a pleasure to join thought leaders on the most burning AI issues and set the global AI agenda.

Here with @Alex Kantrowitz.

?There are more things to cover such as the US AI Bill of Rights and EU AI Act, they will be in the next newsletter.

Last but not least, visit us at our new site to continue our Trust in AI journey together...