Sociology Careers in AI Policy
We look at emerging careers for applied sociologists seeking to address ethical use of AI, as well as policy inequalities flowing from the proliferation of AI.
Elsewhere, I have covered how AI cannot meaningfully replace work that requires human interaction, such as education and healthcare. In other fields, AI may adapt the way people do their work, however, sociological research suggests that AI is unlikely to take over many jobs.
Instead, sociological research suggests that AI is likely to create new jobs, however, this may increase inequality. This includes negative outcomes on the copyright of artists, security issues, degrading the environment, deepening inequality for racialised minorities and rural and remote communities, and impinging on the land and water rights of First Peoples.
Governments already use AI regularly in their work, yet the community does not trust the use of AI to deliver public services. Catastrophic examples where AI has harmed vulnerable people has eroded public trust in both AI and in governance.
As such, there are a myriad of ethical questions surrounding the ongoing evolution, use, and regulation of AI.
To be transparent, I do not support generative AI, and I have many misgivings about other forms of AI, especially in public service.
Nevertheless, applied sociologists might use sociological theories, methods, and ethics expertise to shape better outcomes in AI policies.
Head to Sociology at Work to see jobs for sociologists in ethical policy and research, and where to find these roles.
