AI and the Metaverse

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    Today's technology companies are tasked with earning trust as they navigate an environment of increasing political polarization, social unrest, and complex privacy concerns.

    This is the context in which AI and the Metaverse come into play. Until now, organizations have waged an all-out battle to gain first-mover advantage and market share by bringing these technologies to market quickly. In this environment, how do we build trust in intelligent, immersive platforms that are available to everyone?

    Rapid improvements in generative AI raise such concerns. In March 2023, a joint letter signed by several leaders in the AI ​​and technology community called for a six-month pause on training for AI systems that are more powerful than existing state-of-the-art technologies. In June 2023, EY Trusted Metaverse Survey Technology companies recognize the impact of DEI, but 39% of survey respondents It says business interests can take precedence over user rights such as accessibility, diversity and inclusion.

    Meeting these challenges requires creativity. In some cases, technology itself may provide a solution. Synthetic data can help reduce some types of AI bias, for example by increasing the diversity of datasets to make them more representative of the underlying population.

    Related:Making the most of generative AI in your business: Practical tips and tricks

    More broadly, business leaders can consider moving forward on three fronts to improve DE&I when developing AI and metaverse products:

    1. Ensure diversity in your development team

    Product development teams that are more diverse in life experiences and demographics, demonstrate inclusive behavior and decision making, and work together inclusively will be more sensitive to, recognize and challenge bias. You will be able to do this. On the other hand, teams with greater cognitive diversity may be best suited to develop the creative, human-centered solutions needed to address these challenges.

    2. Efforts to address economic inequality

    Companies implementing AI may prioritize strategies that address job losses and promote economic inclusion.

    This includes investing in reskilling programs to help displaced workers transition into new roles. It also includes inclusive hiring practices, such as ensuring AI hiring algorithms are transparent and audited for bias. Collaboration with governments and civil society organizations could help address economic inequality due to AI by reintegrating displaced populations, promoting inclusive entrepreneurship, and promoting equitable access to AI technologies. there is.

    Related:Evolving AI ethics: What every technology leader needs to know

    3. Build an ethical framework for inclusive design

    An ethical framework for inclusive design is essential to reducing the risk of persistent bias in AI and metaverse systems. Inclusive design requires diverse data collection that accurately represents the demographics and experiences of the target population. We aim to eliminate bias by incorporating feedback from different user groups into our testing and evaluation.

    The introduction of AI and the Metaverse in the workplace creates new opportunities to improve DEI. These technologies can help reduce bias while increasing inclusivity and cognitive diversity. But they also pose new challenges, which, if not carefully considered, can help perpetuate prejudice and worsen inequality. To address these challenges and realize the full potential of these technologies, business leaders must build diverse development teams and work to address inequalities and build inclusive frameworks. is needed. Through steps like these, companies can not only leverage innovative technology, but also build an inclusive and equitable workplace of the future.


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