Today’s technology companies are tasked with earning trust as they navigate an environment of heightened political polarization, social unrest, and complex privacy concerns.
This is the context in which AI and the metaverse are emerging. So far, organizations have been in an all-out race to gain early mover advantage and market share by expeditiously bringing these technologies to market. In this environment, how do we build confidence in intelligent and immersive platforms for all to use?
The rapid improvement of generative AI is raising such concerns. In March 2023, a joint letter signed by several leaders from the AI and tech communities called for a six-month pause in training AI systems more powerful than the existing state of art. In June 2023, the EY Trusted Metaverse Survey revealed that, while tech companies recognize DE&I implications, 39% of survey respondents say business interests could trump user rights such as accessibility, diversity, and inclusiveness.
Addressing these challenges will require creativity. In some cases, technology itself might offer a solution. Synthetic data could be useful in mitigating some forms of AI bias — for instance, by boosting the diversity of datasets to make them more representative of underlying populations.
More broadly, business leaders could consider proceeding on three fronts to improve DE&I as they develop their AI and metaverse offerings:
1. Ensure development teams are diverse
Product development teams with more diversity in life experience and demographic mix — and who team inclusively while demonstrating inclusive behaviors and decision-making — will likely be more sensitive to bias, and better able to recognize and challenge it. Meanwhile, teams that have more cognitive diversity may be best equipped to develop the creative and human-centric solutions needed to address these challenges.
2. Work to address economic inequality
Companies embracing AI could prioritize strategies that address job displacement and promote economic inclusiveness.
This includes investing in reskilling programs to help displaced workers transition into new roles. It also includes inclusive hiring practices, for instance by ensuring that AI recruitment algorithms are transparent and audited for bias. Collaboration with governments and civil society organizations could help address AI-driven economic inequality by reintegrating displaced workers, promoting inclusive entrepreneurship, and encouraging equitable access to AI technologies.
3. Build ethical frameworks for inclusive design
Ethical frameworks for inclusive design are imperative to help reduce the risk of perpetuating biases in AI and metaverse systems. Inclusive design requires diverse data collection that accurately represents the demographics and experiences of target populations. It seeks to weed out biases by incorporating feedback from diverse user groups in testing and evaluation.
The deployment of AI and the metaverse in the workplace creates new opportunities to boost DE&I. These technologies could help mitigate bias while increasing inclusiveness and cognitive diversity. But they also raise new challenges, and without careful consideration, could play a role in perpetuating biases and exacerbating inequality. To address these challenges and maximize the potential of these technologies, business leaders should build diverse development teams, undertake initiatives to address inequality and build inclusive frameworks. Through steps such as these, businesses can build workplaces of the future that are not just powered by transformative technologies, but also inclusive and equitable.
This news is republished from another source.
