Wendy Gonzalez, the CEO of Sama, is leading the charge in providing accurate data for the ambitious AI industry. With the potential of AI to change the world for the better, it is crucial to lay the foundations now for AI to create the best-case scenario. Regulations, such as the voluntary AI guidelines released by the U.K. in 2023, are important but must have an enforcement mechanism in place to push the industry forward.
Governments alone cannot drive responsible AI development. The biggest players in AI, such as Amazon, have the power to set a better example for companies and developers of all sizes. Amazon, for example, is not only supporting Anthropic and its Claude models but also developing its own model, Olympus. The company is also engaging in scholarly work and collaborations to promote ethical AI principles.
Industry leaders have expressed support for AI regulation and responsible AI development, with some companies taking concrete actions to expand perspectives and promote ethical AI principles. Google, for instance, has connected with tribes to understand how AI could assist in areas like language preservation. Developing AI models that are less susceptible to biases and more inclusive requires involving a diverse range of perspectives in the process.
The push to rapidly develop and deploy AI models is coming to an end, with a growing emphasis on responsible and ethical AI development. Companies of all sizes can join the conversation and take steps towards embracing responsible AI practices. Initiatives like the GPAI standards and the EU AI Act are good starting points for ensuring ethical AI development within organizations.
Following the standards set in regulations like the EU AI Act is not only necessary for compliance but also essential for asking the right questions around AI development, documenting data sourcing, and involving cross-functional teams in the decision-making process. The recent collaboration between the EU and U.S. on AI safety indicates that more AI regulations are on the horizon, underlining the importance of having these conversations now rather than waiting for AI failures to occur.
