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