Establishing Standards for Responsible Generative AI
With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. But with the advent of easy-to-access generative AI, it’s now more important than ever. There are several reasons why responsible AI is critical as the... Read more
Debug Object Detection Models with the Responsible AI Dashboard
At Microsoft Build 2023, we announced support for text and image data in the Azure Machine Learning responsible AI dashboard in preview. This blog will focus on the dashboard’s new vision insights capabilities, supporting debugging capabilities for object detection models. We’ll dive into a text-based scenario... Read more
Fair and Explainable Machine Learning
Application of Machine Learning in ambits such as medicine, finance, and education is still nowadays quite complicated due to the ethical concerns surrounding the use of algorithms as automatic decision-making tools. Two of the main causes at the root of this mistrust are: bias and low... Read more
Responsible AI is Not an Option. Here’s How You Can Achieve it
If you’re attending ODSC West you’re acutely aware of the fact that artificial intelligence (AI) is today widely used to inform and shape business strategies and services. You’re probably also aware that the decisions made by AI algorithms can appear callous and even careless. But it... Read more
Open-Source Assessment is Critical for the Future of Responsible AI
Artificial intelligence’s technological sophistication and industry reach continues to evolve rapidly, which has prompted a movement to ensure that these systems are used responsibly. The broadest goal of Responsible AI (RAI) is to recognize the expansive consequences of AI systems, and adapt the development and management... Read more
20 Responsible AI and Machine Learning Safety Talks Every Data Scientist Should Hear
As the adoption of AI accelerates in industry two increasingly important and related topics are responsible AI and machine learning safety (ML safety) which are featured tracks at ODSC East 2022.  Here’s just a sample of 20 of over 110 free talks from leaders in the... Read more
10 Steps to Become a More Responsible Data Scientist
Responsible AI is a big tent idea that’s generated a lot of attention over the last few years. For those of us on the front lines, data scientists, machine learning (ML) engineers, researchers are others, the key question is: how do we build responsible AI in... Read more
15 Open Source Responsible AI Toolkits and Projects to Use Today
Responsible AI, ethical AI, trustworthy AI, and transparent AI are all important topics lately. As more and more companies come under fire for allowing bias in their models or being secretive about their AI, people are becoming increasingly aware of the dangers of AI black boxes.... Read more
Best Ethical AI Research for 2021
Ethical AI is a topic that’s on many people’s minds these days. AI that adheres to well-defined ethical guidelines regarding fundamental values, including such areas like unbiased decisioning, individual rights, privacy, non-discrimination, and non-manipulation is a motivating factor in utilizing this important technology. Ethical AI places... Read more
Learn About Responsible AI at ODSC Europe with These Sessions
Responsible AI – or Ethical AI – is a hot topic lately. When many organizations are using machine learning and artificial intelligence for their daily tasks and backend processes, there’s an air of mystery surrounding it. What tools are they using? Where did they get the... Read more