AI Trust Library

Preventing AI incidents, Part 1: Why robustness and resilience are critical for AI governance

How to succeed with AI projects

Information theory: Not the best approach for model monitoring

5 tips for governance in your AI product strategy

The easy path: Finding the balance of automation in a great governance strategy

Exploring non-parametric statistics

Why businesses need AI standards and governance

The organizations and roles involved in AI governance

Establishing the business case for AI governance

Machine learning: What are loss functions?

MLOps monitoring isn't necessarily model governance

What is Systems Engineering?

Evaluating synthetic data and its quality for AI use cases

Generative AI governance: A tale of two models

3 things we learned about the modeling mindset

Data management's role in ML and AI model systems

AI regulation can miss the big picture of modeling best practices

AI ethics and innovation for product development

The real risks of OpenAI's GPT-4

Responsible AI doesn’t exist without governance

Top bias metrics and how they work

3 ways to drive innovation while achieving compliance

How does bias happen, technically?

Monitaur and PwC Germany alliance is a milestone on the path towards responsible and ethical AI governance

Machine learning models and concept drift

Breaking down model bias in AI

What this celebrity couple has to do with AI governance

What is the NIST artificial intelligence (AI) risk management framework?

Scale AI documentation the “right” way

AI governance as part of the data science lifecycle

Our platform is expanding. Announcing GovernML.

What Facebook and Big Tobacco got wrong (but AI Governance can still get right)

The Top 10 AI & ML Controls

Seeding our mission and our customers – why we raised

Model Assurance: The future is now for insurers

Make lemonade out of Lemonade: Takeaways from recent events

Introducing Monitaur - the Machine Learning Assurance company

How to address the FTC guidance on AI today

How AI regulation is developing in the insurance industry

Highlights from Towards Data Science podcast

Further thoughts on Facebook and AI Governance

Following the Thread – Newsletter Issue 9

Following the Thread – Newsletter Issue 8

Following the Thread – Newsletter Issue 7

Following the Thread – Newsletter Issue 6

Following the Thread – Newsletter Issue 5

Following the Thread – Newsletter Issue 4

Following the Thread – Newsletter Issue 3

Following the Thread – Newsletter Issue 2

Following the Thread – Newsletter Issue 1

FDA steps up AI governance and auditing

Don't skip the human side of managing AI

Bias in AI & ML – Fixing the data will never be enough

Best Practices for Developing Governable AI

Applying cybersecurity lessons learned for insurance AI regulation

Reflections on AI Explainability and Bias expert panel

A brief introduction to Machine Learning Assurance

Scaling AI: 5 things to consider

Fight for global AI lead may boil down to governance

How (and when) will emerging AI rules impact businesses?

Gartner: Hype Cycle for Data and Analytics Governance, 2024

Which insurance giants have the most AI innovation?

Conscious computing: Rethinking business strategy with responsible AI front and center

Free report: AI governance frameworks for responsible AI

Europe agrees on landmark EU AI Act regulation deal

NAIC members approve model bulletin on use of AI by insurers

NAIC model bulletin draft on the use of artificial intelligence

Why so many data science projects fail to deliver

Is insurance the hero that AI needs?

EU AI Act Progress - May 2023

Biased AI algorithms: Learn from my mistakes

The biggest potential enterprise generative AI pitfalls

How AI regulation in insurance is taking shape

Building a culture of problem-solving, innovation during a pandemic

4 principles of responsible artificial intelligence systems

Ten legal and business risks of chatbots and generative AI

Why AI governance is important for building more trustworthy, explainable AI

Artificial Intelligence Will Become An Indispensable, Trusted Enterprise Coworker

Artificial Intelligence is the magic tool the world was waiting for

Last-minute changes to EU Council’s AI Act text ahead of general approach

Scaling AI: Here's why you should first invest in responsible AI

A Machine Learning-Based Solution Could Help Firefighters Circumvent Deadly Backdrafts

The golden age of AI-generated art is here. It’s going to get weird

US and EU AI regulatory proposals under the microscope

To Be a Responsible AI Leader, Focus on Being Responsible

‘State of AI in the Enterprise’ Fifth Edition Uncovers Four Key Actions to Maximize AI Value

Here's how automation and job creation can go hand in hand

The White House just unveiled a new AI Bill of Rights

Viewpoint: Regulatory Interest in Big Data, AI More Than a Carrier Problem

Breaking down bias in AI

Doctors using AI catch breast cancer more often than either does alone

New York City AI Bias Law Charts New Territory for Employers

Why AI fairness tools might actually cause more problems

We Need to Talk About How Good A.I. Is Getting

Algorithms Behaving Badly: New NYC Law Tackles Bias in Hiring Technology

Mastercard's chief data officer: AI success is based on ethics, diversity and innovation

How AI governance and data privacy go hand in hand

Why Corporate Purpose And AI Ethics Must Be a Leadership And Risk Management Priority

Establishing a pro-innovation approach to regulating AI

A Risk-Based Approach to AI Procurement

Research confirms AI adoption growing but governance is lagging

Europe’s New AI Act Puts Ethics In the Spotlight

AI Governance as Part of the Data Science Lifecycle

Why You Need an AI Ethics Committee

AI In Business: The One Thing Every Board Member Asks

The quest for explainable AI

Developing economies risk exclusion as ‘age of AI’ dawns

Why Is Solving For Trust In AI So Challenging?

AI for All: Experts Weigh In on Expanding AI’s Shared Prosperity and Reducing Potential Harms

The EU AI Act: What you need to know

6 business risks of shortchanging AI ethics and governance

Ethical AI becomes a boardroom issue… but implementation is another matter

Meta has built a massive new language AI—and it’s giving it away for free

US FTC Could Find NIST an Ally to Push Its AI Agenda

MIT’s FutureMakers programs help kids get their minds around — and hands on — AI

Can AI Finally Solve the Problem of Diversity?

EU Governance Data Act to Boost AI, Data-Sharing

AI is learning how to explain itself to humans

California suggests taking aim at AI-powered hiring software

Responsibility for AI Ethics Shifts from Tech Silo to Broader Executive Champions, says IBM Study

Wyden, Booker and Clarke Introduce Algorithmic Accountability Act of 2022 To Require New Transparency and Accountability For Automated Decision Systems

Wrongfully Accused by an Algorithm

With New Congress, Passage of Draft Legislation Impacting the Insurance Sector’s Use of Big Data Is Possible

Will Washington Ever Get Around to Regulating Artificial Intelligence?

Why you should hire a chief AI ethics officer

Why the FDA Regulating Medical AI Products Would Be Good for Everyone

Why Microsoft and Twitter are turning to bug bounties to fix their A.I.

Why Explainable AI Must Be Grounded In Board Director’s Risk Management Practices

Why civic competence in AI ethics is needed in 2021

Why 2022 is only the beginning for AI regulation

When Machine Learning Goes Off the Rails

When AI Reads Medical Images: Regulating to Get It Right

What is explainable AI? Building trust in AI models

What Do Conspiracy Theories And AI Explainability Have In Common?

We’re not ready for AI, says the winner of a new $1m AI prize

UK Regulators Warn Banks on Use of AI

UK government publishes pioneering standard for algorithmic transparency

UK charts post-Brexit path with AI strategy

U.S. Chamber Launches Bipartisan Commission on Artificial Intelligence to Advance U.S. Leadership

Trust and Transparency for Enterprise AI

To Spur Growth in AI, We Need a New Approach to Legal Liability

These three layers of governance are critical in building ethical, effective AI

There’s More to AI Bias Than Biased Data, NIST Report Highlights

The Responsible Machine Learning Principles

The new lawsuit that shows facial recognition is officially a civil rights issue

The Missing Role your Organization Needs for the Success of your AI Initiatives

The future of jobs in the era of AI

The Cost of AI Bias: Lower Revenue, Lost Customers

Technology Can't Fix Algorithmic Injustice

Synthetic data for machine learning combats privacy, bias issues

Strengthening international cooperation on artificial intelligence

Speech by Governor Brainard on supporting responsible use of AI and equitable outcomes in financial services

So goes California, so goes Virginia: Virginia’s new privacy law

Seven Legal Questions for Data Scientists

Responsible AI will give you a competitive advantage

Researchers claim bias in AI named entity recognition models

Regulators catching up on use of analytics; compliance better take notice

RE:WIRED 2021: Timnit Gebru Says Artificial Intelligence Needs to Slow Down