AI, Race, And Architecting More Inclusive Social Spaces
AI-driven architecture for social spaces presents us with new opportunities as well as challenges. In his work, Babar Kasam Cazir explores the implications of how artificial intelligence could change socioeconomic dynamics - specifically in event spaces - through its ability to analyze patterns at scale.
Cazir is a prominent Moorish American architect who has spent many years working in and around the entertainment and hospitality industry as the founder of AV hospitality, a casting associate at Sony Pictures, a brand ambassador at Armand de Brignac, and an event organizer.
...Rather than hope that our events create mutually beneficial connections and business relationships, AI technology is deployed by many event managers to strategically match attendees based on similar interests, experiences, age, or professional goals. Since Networking is one of the main reasons people attend events, AI indeed makes events more useful, as Cazir pointed out.
...AI’s deep learning capability also has immense potential to increase the inclusiveness of events and social gatherings. As increased calls emerge for AI professionals to eliminate the biases often found in AI, it becomes necessary that with respect to event management apps and programs, AI designers should train AI to focus more on vital data like professional interests and achievements, aspirations, and experience rather than race or sex. The approach towards training AI for these purposes should be intentional in trying to create a balanced representation.
See the full story here: https://www.forbes.com/sites/anniebrown/2021/10/21/ai-race-and-architecting-more-inclusive-social-spaces/?sh=6c2b2ee51c89
