Understanding Explainable AI
AI is finding its way into a broad range of industries such as education, construction, healthcare, manufacturing, law enforcement, and finance. The sorts of decisions being made by AI-enabled systems is becoming much more profound, and in many cases, critical to life, death, and personal wellness.
Innovation AI Understanding Explainable AI By Ron Schmelzer , Contributor. Forbes contributors publish independent expert analyses and insights. Ron Schmelzer covers AI and data best practices at Forbes since 2018 for COGNITIVE WORLD Follow Author Jul 23, 2019, 07:12am EDT Jul 23, 2019, 08:40pm EDT This article is more than 6 years old. Understanding Explainable AI (XAI) Pixabay As artificial intelligence becomes an increasing part of our daily lives, from the image and facial recognition systems popping up in all manner of applications to machine learning-powered predictive analytics, convers
saved by
related reading
- Microsoft Word - 03_Trites Volume 11 issue 2 Final.docxgmj-canadianedition.ca
- Dario Amodei — The Urgency of Interpretabilitydarioamodei.com
- Software vendors are pushing explainable A.I., but those explanations may be meaningless | Fortunefortune.com
- Ethical AI: Separating fact from fadlinkedin.com
- Beyond explainability: justifiability and contestability of Algorithmic Decision Systemsinria.hal.science
- KG4XAI — Knowledge Graphs for Explainable Artificial Intelligence: Taxonomies, Methodologies, and…medium.com
- On Optimism for Interpretabilitygoodfire.ai
- [1811.10154] Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Insteadarxiv.org
- The Hitchhiker's Guide to Actionable Interpretabilityactionable-interpretability-guide.github.io
- 2 Interpretability – Interpretable Machine Learningchristophm.github.io
- 9th Workshop on Visualization for AI Explainabilityvisxai.io
- Black boxesjzhao.xyz