AI and the Digital Divide
With the meteoric rise of chatbots like ChatGPT in late 2022, generative AI has been capturing global attention and investment. However, as this technology becomes further embedded into our digital lives, there are growing concerns about equitable access. In an article on our website in December 2022, I discussed our ongoing work at Digital Literacy Licence (DLL) to contribute to closing the digital divide in Australia. But the AI revolution risks opening up new chasms if we don't proactively address them. It is time to begin to explore the challenges and solutions surrounding equitable generative AI access to create a more digitally inclusive future.
The Generative AI Skills Gap
While chatbots like ChatGPT showcase the enormous potential of generative AI, interacting with this advanced technology requires baseline digital literacy skills. Generative AI relies on specific prompts and an ability to synthesise outputs, as well as critical thinking about the legitimacy of the information produced. Those lacking access to technology and digital skills could easily be left behind. With Australia still working to close basic digital divides, underserved groups may not have the AI readiness needed to participate equally. Targeted education is essential to prevent generative AI from exacerbating existing barriers.
The Need for Conscious AI Design
Equitable generative AI requires conscious design choices that consider diverse populations. While ChatGPT avoids specific biased outputs, it can still reflect embedded societal prejudices. Ensuring inclusive AI development and mitigating algorithmic biases is vital. User interfaces and systems must be accessible and tailored to people of all abilities, languages, education levels and backgrounds. Prioritising human needs equally is imperative.
Multi-Pronged Approaches to Digital Equity
Bridging generative AI divides requires multi-pronged approaches. Expanding access to devices, connectivity, and digital literacy education provides the critical foundations. Policy and regulations can incentivise ethical AI design that serves society, not just shareholders. Government, not-for-profits and businesses must collaborate to ensure underprivileged communities are not left out of technological leaps like AI. Together, a more equitable, generative AI future is within reach. Our vision at DLL is to work collaboratively with other organisations and individuals to address this enormous issue.
With thoughtful solutions, generative AI can create opportunities for all instead of barriers. The technology itself may be revolutionary, but human values and inclusion must remain at the center. By bridging divides, Australia can lead in ethically advancing and democratising generative AI.