In a recent talk at the TED conference in Vancouver, former OpenAI board member Helen Toner called for major AI companies to be more open about the technology they are developing. Toner highlighted the need for these companies to disclose information regarding the capabilities and risks of their Artificial Intelligence systems to the public.
However, people are passing sarcastic remarks, thinking it is not possible any time soon.
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Toner’s advocacy for transparency comes after her departure from OpenAI’s board last year, a move followed by significant internal upheaval within the company. She emphasized the importance of implementing “AI auditors” to ensure that companies are transparent about their AI projects and are effectively managing potential risks.
“These companies should not be allowed to grade their own homework,” Toner stated, pushing for external audits to assess and validate the safety practices of AI firms. This call for stricter oversight reflects growing concerns about the rapid development and deployment of AI technologies, which, according to Toner, could benefit from governance models similar to those used in other critical sectors, like aviation.
During her presentation, Toner proposed the creation of incident reporting mechanisms, akin to those following aviation accidents, to help collect data on failures and improve AI systems’ safety. This approach aims to provide deeper insights into AI behaviors, especially in adverse situations, thus enhancing accountability and preventive measures.
Helen Toner’s insights stem from her extensive experience in AI policy and governance, as well as her firsthand observations of governmental and industry efforts to manage emerging technologies. Her call to action is not just about implementing checks and balances but also about fostering a culture of openness and learning within the AI community.
As AI continues to integrate into various aspects of daily life and critical infrastructure, the demand for greater transparency and responsible governance grows. Toner’s recommendations could pave the way for more robust frameworks that ensure AI technologies are developed and used in ways that are safe, ethical, and beneficial to society.
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