Many employers use Artificial Intelligence (AI) to facilitate hiring. AI tools can help employers comb through voluminous job candidates, including those who may be well suited but have not yet applied. However, AI can lack cultural competence, fail to adequately recognize skills, and reinforce bias.
More than ever before, we are witnessing unprecedented levels of global migration in human history. In fact, one out of every 28 persons is on the move. The rise in forced migration, coupled with labor shortages and increasing demands from the OECD countries, underscores the critical need to design models that include newcomers into local economies at their skill-level. This is vital to building shared prosperity. AI that is designed intentionally to be inclusive of newcomers has the potential to address these challenges, by creating opportunities for underrepresented talents, such as immigrants and refugees, to contribute meaningfully to local economies.
In the parlance of the bell curve, immigrants and refugee professionals are “edge cases” who are outside of the norm. Mainstream products do not accommodate these communities in their products and services because they do not drive enough business value compared to the “normal” or “average” person closer to the center of the bell curve.
However, when AI is thoughtfully designed to include this underrepresented talent, its transformative power can help them surmount the barriers that keep them locked out of traditional career pathways.
Join this interactive discussion to learn the critical intersection of AI, underrepresented talent, and the inclusive future of work. Gain insights on the power of intentional AI design, evaluating AI technology used by providers, employers and government. With live polls, participants will collaborate on how we can ensure AI systems are inclusive, address bias, and scale organizational impact that will ultimately promote equitable outcomes. With a shared purpose, let us build systemic solutions for workforce inclusion and prosperity for all. Designing to close equity gaps lifts all boats.
