AI reflects the implicit biases of the people that design it. Models learning from biased training data may perpetuate historical bias against marginalized groups, such as people whose gender is non-binary, people of color, people with disabilities, or other minorities. Further, training data typically underrepresents marginalized groups. Because these groups include people with disabilities, mitigating [...]
Disabilities are highly diverse and virtually impossible to analyze at scale Consider that half of disabilities are invisible, and only 39 percent of employees with disabilities disclose their disability to their managers, let alone an interviewer. Disabilities are also highly diverse, ranging from physical disabilities like mobility or blindness to cognitive and psychosocial disabilities. They [...]
As organizations increase their use of AI tools in the workplace, they can become vulnerable to new risks and modes of discrimination against people with disabilities and other protected classes. Like other innovative technologies, the speed of AI advancement has outpaced the community’s ability to put in place clear guidelines, standards, and regulatory structures on equitable technology design and implementations. Until recently, computer scientists have not been asked to consider the ethics of their research. Ethical consideration is crucial in many fields, including biology, psychology, and anthropology, where researchers are asked to follow many legal regulations and codes of conduct.
Accessible eRecruiting Using Social Media More and more employers are using social media platforms like Facebook, LinkedIn, and Twitter to advertise job postings and promote their companies, while job seekers are using them to network, learn about career opportunities, and apply for jobs online. But not all social media content is accessible to all people, which limits the [...]
Using Plain Language to Enhance eRecruiting Accessibility matters to people with all kinds of disabilities—not just those with vision and hearing impairments. That means individuals with intellectual and learning disabilities, cognitive issues, traumatic brain injuries, and other disabilities, all of which can make using the Internet more challenging. […]
