Editing Openai/68c1d160-0cc0-8003-bf04-991b9e7c3b24 (section)

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From the uploaded text AI from a Social Science Perspective (Dr. Klaus Schoemann), social science concerns with AI focus on potentials and limitations of how AI interacts with society:
* Labour and employment: AI impacts jobs, but adjustment processes are slow. For example, there’s a shortage of engineers and care workers, while robots are still limited to simple assistant tasks. This raises concerns about who benefits and who is left behindAI from a Social Science Perspe… .
* Bias and fairness: The book highlights issues of biased results in research and decision-making. When AI systems rely on incomplete or selective samples, results can be misleading — a challenge also familiar to social scientistsAI from a Social Science Perspe… .
* Democracy and accountability: Journalists and scientists are framed as part of a “checks and balances” system. AI adds complexity here, as the fast spread of information without accountability can weaken democratic processesAI from a Social Science Perspe… .
* Human–machine relations: Topics like intimacy, housing, and memory are re-thought in the context of AI and digitalization, raising questions about privacy, social norms, and cultural heritage.
* War and security: AI-driven technologies like drones change the nature of warfare, raising ethical and political questionsAI from a Social Science Perspe… .

On his blog, Schoemann also stresses the energy and resource costs of large AI models and how reinforcement learning offers a more efficient alternative. He warns that AI should be understood not just technically, but as part of an “all-electric society” where social sciences help assess risks, inequalities, and long-term consequencesAI from a Social Science Perspe…

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👉 In short: AI raises social science concerns about equity, bias, democracy, labour, cultural shifts, and global risks.

Would you like me to make this into a short FAQ-style chatbot reply (very compact answers) so it’s more test-friendly?