Four short links: 14 May 2019
Designing for AI, Opinions, Data Moats, and Trans-inclusive Design
Designing for AI, Opinions, Data Moats, and Trans-inclusive Design
Breaking up Facebook won't solve the disinformation or privacy problems. It might well make it harder for Facebook to work on those problems.
Git-rebase, Swift on the Web, Deepfake Dalí, and ML Style Guide
Programmers have built great tools for others. It’s time they built some for themselves.
Flip Disc Display, Misinformation, Surveillance, and TCP/IP over Logs
Adversarial Examples, War Crimes, Open Source Firmware, and Better Questions
Old Timers, Web Flashback, Software Collapse, Revisions to Paxos
AI in Dev Tools, Reproducibility, Computing Space, and Social Media and Free Speech
Intercepting App's Network Traffic, Rules Engine, CC Search, and Pronouncing Names
Knowledge Graph, Volumetric Viewer, Neutral Painting, Weird Codes
Chris Taggart explains the benefits of “white box data” and outlines the structural shifts that are moving the data world toward this model.
Sandra Wachter argues that a right to reasonable inferences could protect against new forms of discrimination.
Mike Tidmarsh looks at how data and AI are radically reshaping the world of marketing communications.
David Boyle shares lessons on how analysts can harness data and creativity to build partnerships.
Shingai Manjengwa shares insights from teaching data science to 300,000 online learners.
Network Computation, Algorithmic Bias, Social Robotics, Single Founders Do Fine
Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning.
Mick Hollison describes why hybrid and multi-cloud is the future for organizations that want to capitalize on machine learning and AI.