People with nontraditional sexual identities and lifestyles — for example, nonheterosexuals, people in consensually nonmonogamous (CNM) relationships, or people engaging in kink, fetish, or BDSM (bondage, discipline, domination and submission, sadism and masochism) — often have unique health needs.
We’re at the mercy of our ZIP codes: Lesbian, gay, bisexual and transgender people are often affected most by their municipality, not their state.
Recently, the A.I. community was left largely stunned when a study released by two Stanford researchers claimed that artificial intelligence could essentially detect a person’s gay or straight sexual orientation. For those of us who have been working on issues of bias in A.I., it was a moment that we had long foreseen: Someone would attempt to apply A.I. technology to categorize human identity, reducing the rich complexity of our daily lives, activities, and personalities to a couple of simplistic variables.
Lesbian, Gay, Bisexual, Transgender and Intersex (LGBTI) persons live with multiple forms of discrimination in their countries increasing their vulnerability to a broad range of human rights violations: hate crimes, torture and cruel treatment, poverty, shorter life expectancy, higher HIV/AIDS prevalence rates, and social exclusion.
Visibility has increased in recent years, but so have attacks against transgender people, making for a “traumatic” time, Ms. Keisling said.
At Boston University, Rebecca Farmer was active in the lesbian, gay, bisexual and transgender community. But when it came time to pursue a career in finance, the 23-year-old decided to stay in the closet.
The survey found anti-LGBTQ discrimination can push people back into the closet.
Developments at the United Nations give insight into global trends and emerging patterns on matters relating to sexual orientation and gender identity.
Blogging by Paul Johnson, Professor of Sociology at the University of York.