Deceptive patterns (also widely known as “dark patterns”) are all over the Web. I’ll speak to the accessibility impact deceptive patterns and “dark” patterns have as well as my introduction to taking these patterns and my work in the W3C to have these published in WCAG 3.
There is a lot of work being done in the Functional Needs group of the W3C to introduce these to FAST. I’ll talk about FAST, what it means to accessibility, and to users, developers, designers, and everyone in-between in the organization.
I’ll also introduce people to the Framework for Accessible Specification of Technologies (FAST) which advises creators of technical specifications on ensuring their technology meets the needs of users with disabilities.
It primarily addresses web content technologies but also relates to any technology that affects web content sent to users, including client-side APIs, transmission protocols, and interchange formats.
Specifications that implement these guidelines make it possible for content authors and user agents to render the content in an accessible manner to people with a wide range of abilities.
Framework for Accessible Specification of Technologies (FAST) advises creators of technical specifications how to ensure their technology meets the needs of user with disabilities.
The colors black and white have long carried opposite connotations. Douglas Longshore goes into the history and the vernacular behind color and racial attitudes.
For decades, affective scientists have examined how adults and children reason about others’ emotions. Yet, our knowledge is limited regarding how emotion reasoning is impacted by race-that is, how individuals reason about emotions displayed by people of other racial groups.
The web should be a platform that helps people and provides a positive social benefit. As we continue to evolve the web platform, we must therefore consider the consequences of our work. The following document sets out ethical principles that will drive the W3C’s continuing work in this direction.
This document discusses ethical issues associated with using Machine Learning and outlines considerations for web technologies that enable related use cases.