De-biasing language
The toughest bias problems are often the ones you only think you’ve solved.
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
The toughest bias problems are often the ones you only think you’ve solved.
Watch highlights from expert talks covering AI, machine learning, data analytics, and more.
Lauren Kunze discusses lessons learned from an analysis of interactions between humans and chatbots.
The O’Reilly Data Show Podcast: Forough Poursabzi Sangdeh on the interdisciplinary nature of interpretable and interactive machine learning.
Shafi Goldwasser explains why the next frontier of cryptography will help establish safe machine learning.
Jed Dougherty plots AI examples on a matrix to clarify the various interpretations of AI.
Dinesh Nirmal shares a data asset framework that incorporates current business structures and the elements you need for an AI-fluent data platform.
Amy O'Connor explains how Cloudera applies an "edge to AI" approach to collect, process, and analyze data.
The O’Reilly Data Show Podcast: Kartik Hosanagar on the growing power and sophistication of algorithms.
Radar spots and explores emerging technology themes so organizations can succeed amid constant change.
The O’Reilly Data Show Podcast: P.W. Singer on how social media has changed, war, politics, and business.
There are growing numbers of users and contributors to the framework, as well as libraries for reinforcement learning, AutoML, and data science.
An overview of emerging trends, known hurdles, and best practices in artificial intelligence.
The O’Reilly Data Show Podcast: Siwei Lyu on machine learning for digital media forensics and image synthesis.
How companies in Europe are preparing for and adopting AI and ML technologies.
Much like human speech, bird song learning is social; perhaps we'll discover machine learning is social, too.
The O’Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit.
A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts.
Consent is the first step toward the ethical use of data, but it's not the last.
The O’Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies.
The program for our Artificial Intelligence Conference in New York City will showcase tools, best practices, and use cases from companies leading the way in AI adoption.
How new developments in automation, machine deception, hardware, and more will shape AI.
From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data.
The O’Reilly Data Show Podcast: Haoyuan Li on accelerating analytic workloads, and innovation in data and AI in China.