An expert argues that fears about artificial intelligence are not inevitable if regulators and companies keep AI systems “under control, open and public.” Andrea Renda, Director of Research at the Centre for European Policy Studies, says the core problem is uncertainty about how AI is built and what happens inside major developer organizations.
Renda points to a lack of information about internal practices at firms such as OpenAI and Anthropic, saying people “don’t know enough” to assess risks or determine whether safeguards are effective. The article frames transparency and governance as ways to improve understanding rather than to remove AI development entirely.
The sources presented here focus on the same view from the same expert, emphasizing that the debate turns on oversight and disclosure. They do not provide competing claims from other analysts in the material provided, instead underscoring the importance of public accountability and clearer visibility into AI development processes.
