- Why Do AI Systems Need Human Intervention to Work Well? - Jun 5, 2020.
All is not well with artificial intelligence-based systems during the coronavirus pandemic. No, the virus does not impact AI – however, it does impact humans, without whom AI and ML systems cannot function properly. Surprised?
Tags: AI, Coronavirus, Humans, Machine Learning, Watson
- Live Webinar: Continual Learning with Human-in-the-loop - Nov 18, 2019.
Join this live webinar from cnvrg, Continual Learning with Human-in-the-loop, Nov 26 @ 12 PM EST, and learn the role of human-in-the-loop in your ML pipeline, how to close the loop in your pipeline, and much more.
Tags: cnvrg.io, Humans, Learning, Machine Intelligence
- Autonomy – Do we have the choice? - Nov 21, 2018.
Choice of taking decision or not taking a decision requires a free will. Machines do not have free will. They do what they do, some machines do intelligent things but not with choice. Interesting question to think is - what is choice? or what is autonomy?
Tags: AI, Decision Making, Human Intelligence, Humans
- The Economics and Benefits of Artificial Intelligence - Sep 13, 2018.
In this article, focus on current AI, which is mostly based on the algorithms that can do predictions, and discuss how the economics of AI works and how it may affect business.
Tags: AI, Economics, Humans
- How to Lie with Data Science - Jul 27, 2018.
This post is not really about how to lie with Data Science. Instead, it’s about how we may be fooled by not giving enough attention to details in different parts of the pipeline.
Tags: Charts, Data Science, Data Visualization, Humans, Measurement
- Cartoon: Taxes, Artificial Intelligence, and Humans - Apr 15, 2017.
In honor of Tax Day, new KDnuggets Cartoon looks at an unexpected white-collar job that may resist automation and Machine Learning.
Tags: AI, Artificial Intelligence, Cartoon, Fraud Detection, Humans, Taxes
- Machine Learning Meets Humans – Insights from HUML 2016 - Jan 6, 2017.
Report from an important IEEE workshop on Human Use of Machine Learning, covering trust, responsibility, the value of explanation, safety of machine learning, discrimination in human vs. machine decision making, and more.
Pages: 1 2
Tags: AI, Bias, Decision Making, Humans, Machine Learning, Privacy, Safety, Transparency, Trust
