inclusion and diversity
Fairwords claims to prevent workplace harassment with AI, but the reality is more complicated
Did you miss a session at the Data Summit? Harassment in the workplace affects employees of all backgrounds, genders, sexualities, and ethnicities -- but disproportionately those in under-represented groups. A 2018 survey by Stop Street Harassment showed that 81% of women have been harassed in their lifetime. And according to a UCLA School of Law study, half of LGBTQ workers have faced job discrimination at some point in their careers. Work-from-home arrangements during the pandemic haven't slowed or reversed the trend -- in fact, they've accelerated it.
Council Post: Diversity And Inclusion In AI
Steve is the Head of Data Science and AI at Australian Computer Society, a proactive social media contributor and LinkedIn influencer. Due to the advent of the Industrial Revolution and the advancement of computer technology, we have seen a drastic change in the way we have lived over the past few decades. Our lives revolve around technology, and it is becoming more pervasive every year. Artificial intelligence (AI) has become a major catalyst in driving the next revolution. The rate of progress in the field of artificial intelligence is exponentially increasing and impacting our lives like never before.
Inclusion and Diversity in an AI World
"With AI," Cisco's Joseph Bradley said, "we're at a crossroads for a new kind of moral compass of human equality, at a level literally of the civil rights movement. Because when you think of the number of people that AI can impact and the speed at which it drives decisions, you understand how important it is for us to get it right." That importance will only grow, as artificial intelligence and machine learning take over key decisions in everything from enterprises and public safety to battlefields and operating rooms. Depending on how it's developed and deployed, AI can support a future that's inclusive, sustainable, and rife with opportunity for even for the most disadvantaged in society. Or it can widen the divide, eliminating jobs and basing key decisions on biased programming.