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The organizations and roles involved in AI governance
AI Governance & Assurance
Principles & Frameworks
Establishing the business case for AI governance
AI Governance & Assurance
Ethics & Responsibility
Machine learning: What are loss functions?
AI Governance & Assurance
MLOps monitoring isn't necessarily model governance
AI Governance & Assurance
What is Systems Engineering?
Principles & Frameworks
Evaluating synthetic data and its quality for AI use cases
AI Governance & Assurance
Generative AI governance: A tale of two models
AI Governance & Assurance
Principles & Frameworks
3 things we learned about the modeling mindset
Principles & Frameworks
Data management's role in ML and AI model systems
AI Governance & Assurance
AI regulation can miss the big picture of modeling best practices
Regulation & Legislation
Impact & Society
Principles & Frameworks
AI ethics and innovation for product development
Ethics & Responsibility
Impact & Society
The real risks of OpenAI's GPT-4
Ethics & Responsibility
Risks & Liability
Responsible AI doesn’t exist without governance
AI Governance & Assurance
Ethics & Responsibility
Top bias metrics and how they work
AI Governance & Assurance
Principles & Frameworks
Impact & Society
3 ways to drive innovation while achieving compliance
AI Governance & Assurance
Risks & Liability
How does bias happen, technically?
Ethics & Responsibility
Impact & Society
AI Governance & Assurance
Monitaur and PwC Germany alliance is a milestone on the path towards responsible and ethical AI governance
AI Governance & Assurance
Impact & Society
Machine learning models and concept drift
AI Governance & Assurance
Ethics & Responsibility
Breaking down model bias in AI
Ethics & Responsibility
AI Governance & Assurance
What this celebrity couple has to do with AI governance
AI Governance & Assurance
What is the NIST artificial intelligence (AI) risk management framework?
Principles & Frameworks
AI Governance & Assurance
Ethics & Responsibility
Scale AI documentation the “right” way
AI Governance & Assurance
Risks & Liability
AI governance as part of the data science lifecycle
AI Governance & Assurance
Ethics & Responsibility
Our platform is expanding. Announcing GovernML.
AI Governance & Assurance
What Facebook and Big Tobacco got wrong (but AI Governance can still get right)
Ethics & Responsibility
Risks & Liability
The Top 10 AI & ML Controls
AI Governance & Assurance
Principles & Frameworks
Seeding our mission and our customers – why we raised
AI Governance & Assurance
Model Assurance: The future is now for insurers
AI Governance & Assurance
Make lemonade out of Lemonade: Takeaways from recent events
AI Governance & Assurance
Risks & Liability
Introducing Monitaur - the Machine Learning Assurance company
AI Governance & Assurance
How to address the FTC guidance on AI today
Principles & Frameworks
Regulation & Legislation
How AI regulation is developing in the insurance industry
Regulation & Legislation
AI Governance & Assurance
Highlights from Towards Data Science podcast
AI Governance & Assurance
Risks & Liability
Further thoughts on Facebook and AI Governance
AI Governance & Assurance
Ethics & Responsibility
Following the Thread – Newsletter Issue 9
Risks & Liability
Following the Thread – Newsletter Issue 8
AI Governance & Assurance
Following the Thread – Newsletter Issue 7
Regulation & Legislation
Risks & Liability
Following the Thread – Newsletter Issue 6
Regulation & Legislation
Risks & Liability
Following the Thread – Newsletter Issue 5
Risks & Liability
Principles & Frameworks
Following the Thread – Newsletter Issue 4
Ethics & Responsibility
Regulation & Legislation
Following the Thread – Newsletter Issue 3
Regulation & Legislation
Following the Thread – Newsletter Issue 2
Principles & Frameworks
Following the Thread – Newsletter Issue 1
Ethics & Responsibility
FDA steps up AI governance and auditing
Regulation & Legislation
Don't skip the human side of managing AI
Ethics & Responsibility
Bias in AI & ML – Fixing the data will never be enough
Ethics & Responsibility
AI Governance & Assurance
Best Practices for Developing Governable AI
AI Governance & Assurance
Applying cybersecurity lessons learned for insurance AI regulation
Regulation & Legislation
Principles & Frameworks
Reflections on AI Explainability and Bias expert panel
Ethics & Responsibility
A brief introduction to Machine Learning Assurance
AI Governance & Assurance
Scaling AI: 5 things to consider
Principles & Frameworks
Ethics & Responsibility
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
RDS and Trust Aware Process Mining: Keys to Trustworthy AI?
Putting Responsible AI Into Practice
Parliament leads the way on first set of EU rules for Artificial Intelligence
NYC aims to be first to rein in AI hiring tools
NIST calls for help in developing framework managing risks of AI
NIST Asks A.I. to Explain Itself
New Developments in FDA Regulation of AI
New AI Regulations Are Coming. Is Your Organization Ready?
Model validation: Performance and metrics
November 18, 2023
Model validation: Robustness and resilience
November 18, 2023
Digital twins in AI systems
November 18, 2023
Fundamentals of systems engineering
November 18, 2023
Synthetic Data in AI
November 18, 2023
Modeling with Christoph Molnar
November 18, 2023
Why data matters | The right data for the right objective with Ai
November 18, 2023
Truth-based AI - LLMs and knowledge graphs
November 18, 2023
Introducing the AI Fundamentalists
November 18, 2023
ML Assurance Newsletter - Issue 29
August 17, 2023
ML Assurance Newsletter - Issue 28
July 19, 2023
ML Assurance Newsletter - Issue 27
June 15, 2023
ML Assurance Newsletter - Issue 26
May 18, 2023
ML Assurance Newsletter - Issue 25
April 19, 2023
ML Assurance Newsletter - Issue 24
March 8, 2023
ML Assurance Newsletter - Issue 23
November 28, 2022
ML Assurance Newsletter - Issue 22
October 31, 2022
ML Assurance Newsletter - Issue 21
August 31, 2022
ML Assurance Newsletter - Issue 20
July 28, 2022
ML Assurance Newsletter - Issue 19
June 30, 2022
ML Assurance Newsletter - Issue 18
May 25, 2022
ML Assurance Newsletter - Issue 17
April 27, 2022
ML Assurance Newsletter – Issue 9
August 18, 2021
ML Assurance Newsletter – Issue 8
June 8, 2021
ML Assurance Newsletter – Issue 7
April 8, 2021
ML Assurance Newsletter – Issue 6
February 22, 2021
ML Assurance Newsletter – Issue 5
January 11, 2021
ML Assurance Newsletter – Issue 4
December 10, 2020
ML Assurance Newsletter – Issue 3
September 15, 2020
ML Assurance Newsletter – Issue 2
August 11, 2020
ML Assurance Newsletter - Issue 16
March 24, 2022
ML Assurance Newsletter – Issue 15
January 27, 2022
ML Assurance Newsletter – Issue 14
January 6, 2022
ML Assurance Newsletter – Issue 13
December 9, 2021
ML Assurance Newsletter – Issue 12
November 18, 2021
ML Assurance Newsletter – Issue 11
October 28, 2021
ML Assurance Newsletter – Issue 10
September 30, 2021
ML Assurance Newsletter – Issue 1
July 1, 2020
Monitaur Accelerates AI Governance for Insurance
March 15, 2023
PwC Germany and Monitaur Form Strategic Partnership to Advance AI Governance
September 7, 2022
Monitaur Launches GovernML to Guide and Assure Entire AI Lifecycle
April 5, 2022
Monitaur Uses Industry Traction to Successfully Close $2.6 Million in Funding
May 11, 2021
Monitaur Achieves SOC 2 Type II Certification
December 15, 2021
Revolutionizing insurtech with simplified model governance
September 20, 2023
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