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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
Building an Ethical Data Science Practice
“F**k the Algorithm” is a bold mantra that we are likely to hear more about as unintended consequences of AI continue to unfold. For almost a decade, our industry has been obsessed with maximizing predictive performance – also seen as the ability with which AI can... Read more
Toby Walsh on AI and Ethics
I get a call from the media almost every day to help them understand some new development in Artificial Intelligence (AI). And most often of all, they want to talk about “AI and Ethics.” A little time ago, amongst all these calls from the media, I... Read more
Exploring the Moral and Ethical Perspective of a Dataset while Building an Explainable AI Solution
Developing AI code in the 2010s relied on knowledge and talent. Developing AI code in the 2020s implies the accountability of XAI for every aspect of an AI project. It includes moral, ethical, legal, and technical perspectives, all for building an explainable AI solution. [Related article:... Read more
Responsible Data Science & AI – Challenges and Steps Towards a Practical Implementation
After major incidents, such as the Cambridge Analytica scandal and the alleged racial bias in the COMPAS system that assessed potential recidivism risk in the US, the call for responsible data science & AI frameworks increased. Books as weapons of math destruction, the black box society,... Read more