Digital divide
The digital divide is often defined as the gap between those who have and do not have access to computers and the Internet (Van Dijk, 2006). As the Internet gradually becomes ubiquitous, a second-level digital divide, which refers to the gap in Internet skills and usage between different groups and cultures, is brought up as a concern (Scheerder et al., 2017). As an emerging technology, generative AI may widen the existing digital divide in society. The “invisible” AI underlying AI-enabled systems has made the interaction between humans and technology more complicated (Carter et al., 2020). For those who do not have access to devices or the Internet, or those who live in regions that are blocked by generative AI vendors or websites, the first-level digital divide may be widened between them and those who have access (Bozkurt & Sharma, 2023). For those from marginalized or minority cultures, they may face language and cultural barriers if their cultures are not thoroughly learned by or incorporated into generative AI models. Furthermore, for those who find it difficult to utilize the generative AI tool, such as some elderly, the second-level digital divide may emerge or widen (Dwivedi et al., 2023). To deal with the digital divide, having more accessible AI as well as AI literacy training would be beneficial.
ENTITY
1 - Human
INTENT
2 - Unintentional
TIMING
2 - Post-deployment
Risk ID
mit539
Domain lineage
6. Socioeconomic and Environmental
6.1 > Power centralization and unfair distribution of benefits
Mitigation strategy
1. Prioritize strategic public and private investment in universal, high-quality, and affordable digital public infrastructure (broadband connectivity and AI-enabled devices) to systematically eliminate the first-level digital divide and foster equitable physical and financial access. 2. Establish and fund national and community-level programs for comprehensive AI literacy and digital skills development, specifically targeting demographic and socioeconomic groups identified as being at higher risk of being excluded, thereby mitigating the second-level digital divide concerning usage and competency. 3. Implement regulatory frameworks and procurement policies that mandate inclusive design, cultural relevance (including local language support), and robust accessibility standards (e.g., WCAG conformance) for all public-facing AI systems to prevent the technology itself from creating or perpetuating exclusion among marginalized and disabled populations.