DescriptionWe cannot ignore the excitement and temptation of integrating generative AI into the future of research across all disciplines, but will the inclusion of a dehumanised entity enable us to better champion equality diversity and inclusion (EDI) practices? As generative AI spreads, it has begun to play an important role in the arts and humanities, with particular emphasis on its ability to process vast amounts of data beyond human capacity. This is having a rippling and exploratory impact in the wider creative sector enabling the evolution of digital tools to help scholars collaborate, reshape hybrid forms of artistic expression and express cultural interpretation in virtual and immersive experiences. In this keynote, I share some of the more thought-provoking ideas around the inherent risks and the potential loss of human-centric perspectives and the merits and concerns surrounding AI-generative research designs, methods and outputs, which culminates in us taking the next step to think about how this cutting-edge technological advancement rolls the dice when we think about EDI. We delve into key questions of the human responsibility to ethically programme AI systems to be mindful of our current understanding of EDI, and at the same time reflect on the dangers and risks of pinpointing and course correcting implicit biases with technology that has the capacity to be super-smarter than mankind.
|Period||27 Jun 2023|
|Event title||Techne Congress: Breaking the Cycle|
|Degree of Recognition||National|