The Responsible AI Blog

Get the latest news and insights about Responsible AI and its transformative impact on today’s business landscape.


February 26, 2024

How to Get Started with Generative AI Governance

Read our latest blog post to learn how to get started with Generative AI governance in 2024.

February 22, 2024

Understand Your AI: Compliance & Regulatory Insights for AI in The Insurance Industry

Dive into our latest blog post to find out more about the latest regulatory insights for AI in the insurance industry.

February 20, 2024

Understand Your AI: Exploring the Opportunities and Risks of AI in Insurance

Read our latest blog post to find out more about how AI is shaping the future of insurance.

February 16, 2024

Decoding the EU AI Act: Regulatory Scope, Purpose and Impact

Read our latest blog post to find out more about the regulatory scope, purpose, and impact of the EU AI Act.

February 9, 2024

Lumenova AI Joins NIST's AI Safety Institute Consortium (AISIC)

Lumenova AI joins the MIST's AI Safety Institute Consortium (AISIC), a new public-private partnership led by the National Institute of Standards and Technology (NIST) to support the development and deployment of trustworthy and safe AI.

February 8, 2024

The Progress of AI Policy in 2023 and Predictions for 2024

2023 was an exciting and ambitious year for AI policymaking. Find out more about the progress of AI policy in 2023 and our predictions for 2024.

January 29, 2024

What you need to know about NIST's AI Risk Management Framework

NIST released a framework to guide and manage the use of AI products, services, and systems.

January 23, 2024

Demystifying Responsible AI Governance: 4 Myths to Let Go Of in 2024

Read our blog post to uncover the truth behind Responsible AI Governance. Explore common myths, gain insights, and shape an ethical AI strategy for 2024.

January 17, 2024

Key Takeaways: Regulatory Initiatives Concerning Automated Decision Making Technologies and Generative AI in California

Dive into our latest blog post to explore the key changes in the AI landscape driven by recent California state regulations.

January 16, 2024

Managing the Risk of Large Language Models (LLMs) in Financial Services

Learn more about mitigating risk and following regulation when using LLMs in financial services.

January 12, 2024

Case Study: How a Retail Bank Can Safely Leverage Generative AI with Lumenova AI

This case study examines how a retail bank can safely scale generative AI initiatives by implementing AI governance platform Lumenova AI.

January 10, 2024

Navigating the New Normal: Decoding Colorado's Trailblazing AI Regulation (SB 21-169)

Read more about Colorado's new AI regulation in our latest blog post. Stay informed on Responsible AI practices in the evolving landscape of AI Governance.

December 20, 2023

Navigating the AI safety landscape in Generative AI

As we continue to make strides in the realm of Artificial Intelligence (AI), the safety and ethical use of these systems remain paramount. This is especially true for generative AI models.

December 11, 2023

European Parliament Reaches Landmark Agreement on Artificial Intelligence Act

The European Parliament has achieved a significant milestone in the regulation of Artificial Intelligence (AI) with a provisional agreement on the much-anticipated Artificial Intelligence Act.

December 1, 2023

Responsible Generative AI: Principles for building ethical and trustworthy solutions

In this article, we explore key principles inspired by various industry-leading approaches to building responsible generative AI solutions.

November 28, 2023

President Biden's Bold Step: Inside the White House's New Executive Order Transforming AI

Dive into President Biden's bold AI executive order – read our blog post to uncover strategic steps, transformative impact, and the roadmap to a secure future.

November 17, 2023

New Stanford study reveals the lack of transparency from major AI companies

A new Stanford study reveals the lack of transparency from major AI companies, highlighting the urgent need for improved accountability.

November 10, 2023

The future of healthcare: Navigating the applications and challenges of AI

Explore the future of healthcare as we delve into the applications and challenges of integrating AI. Understand potential benefits, risks, and the roadmap for a responsible AI approach.

October 18, 2023

Lumenova AI Joins the Ranks of Responsible AI Innovators in EAIDB

Lumenova AI is now part of the Ethical AI Database (EAIDB). The Ethical AI Database (EAIDB) is the only publicly available, vetted database of AI startups that offer ethical AI services.

October 3, 2023

Lumenova AI: A Proud Addition to the OECD.AI Database

We're thrilled to announce a significant milestone in our journey – Lumenova AI has been included in OECD.AI’s Trustworthy AI Tools

September 15, 2023

Navigating the Ethics of Generative AI in Finance: A Responsible Approach

This article discusses key insights from Accenture's report "Responsible AI In Finance: Navigating The Ethics Of Generative AI" on how the finance industry can responsibly leverage the transformative potential of Generative AI while navigating complex ethical challenges.

August 15, 2023

Lumenova AI Is Now SOC 2 Type II Compliant

We are excited to announce that Lumenova AI has achieved its SOC 2 Type II attestation, setting new benchmarks in our unwavering commitment to Responsible AI.

July 6, 2023

How Businesses Can Prepare for the EU AI Act

Understanding the EU AI Act: Read our blog post for insights and best practices regarding Europe's AI Act.

June 29, 2023

Europe's AI Act: Key Takeaways

Discover the essential takeaways from the Europen Union's AI Act. Read our blog post to find out more.

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June 10, 2023

What Businesses Need to Know About the EU AI Act

Unveiling the EU AI Act: A must-read blog post for businesses seeking insights on AI regulations in the European Union. Read more.

May 10, 2023

Putting Generative AI to Work Responsibly

Learn more about integrating generative AI into your risk management process and why it is important to use this technology responsibly.

May 2, 2023

Machine Learning Model Building Made Easy with ChatGPT: Myth or Reality?

Is building an ML model with ChatGPT easy or just a myth? Our latest blog post explores this question and reveals the reality. Read on to find out more!

April 12, 2023

The Risks & Rewards of Generative AI

Learn more about the risks and rewards of Generative AI, and what to be on the lookout for in our latest blog post.

March 2, 2023

Adversarial Attacks vs Counterfactual Explanations

Adversarial examples are closely related to counterfactual explanations, yet their goal is fundamentally different. Find out more in our latest blog post.

February 27, 2023

Introduction to Counterfactual Explanations in Machine Learning

Discover what counterfactual explanations are and why they are a great tool for explainability in our latest blog post.

February 22, 2023

Types of Adversarial Attacks and How To Overcome Them

Machine Learning powered algorithms are susceptible to a variety of adversarial attacks that aim to degrade their performance. Here’s what you need to know.

February 3, 2023

NIST Releases New AI Risk Management Framework

The National Institute of Standards and Technology released the first version of its AI Risk Management Framework. Find out what it means for your organization.

January 26, 2023

Understanding Adversarial Attacks in Machine Learning

Adversarial attacks and adversarial learning have become key focus points for data scientists and machine learning engineers worldwide. Find out why.

September 21, 2022

Why Business Leaders Should Care About AI Transparency

Transparent AI propels organizations forward by means of enhanced trust, performance, security, and compliance. Find out why business leaders should care.

September 14, 2022

Why AI Transparency Is Essential to Building Trust

AI transparency is becoming an important advantage for businesses that have it and a major roadblock for those that don’t. Read more on our blog.

September 7, 2022

Bias and Unfairness in Machine Learning Models

Algorithmic bias and unfairness raise ethical concerns regarding the use of AI in real-life situations. Find out more.

August 31, 2022

Group Fairness vs. Individual Fairness in Machine Learning

In fair machine learning research, group and individual fairness measures are placed at distinct levels. Learn more about the nuances of algorithmic fairness.

July 29, 2022

The Nuances of Fairness in Machine Learning

As the problem of AI bias is becoming a global concern, companies should prioritize the implementation of a fair and equitable ML strategy. Find out more.

July 15, 2022

The Benefits of Responsible AI for Today's Businesses

Find out why you should care about Responsible AI and how it can help your business meet new and upcoming legal requirements.

July 1, 2022

Why Explainable AI Is Key to the Future of Machine Learning

Find out why explainable AI is key to the future of machine learning and how companies can benefit from untangling the intricate logic of black box models.

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