Elon Musk’s recent announcement of his new artificial intelligence company, AI, has underscored the importance of addressing existential concerns about AI’s promise and peril. The formation of this company highlights crucial questions that companies should be asking themselves about how to mitigate the potential risks of AI.
Who is Asking Questions?
Companies building foundational models need to have a diverse set of stakeholders internally who are equipped to address both short- and long-term impacts of the technology they’re developing. This includes:
- Data Ethicists: Who can articulate and adopt ethical data principles, ensuring that companies handle people’s data responsibly.
- AI Experts: Who can develop and implement safeguards, back doors, and kill switches as prescribed by the chief philosopher architect.
The Need for a Holistic Lineup
OpenAI, a well-developed foundational model company, is struggling with this staffing challenge. They have a Chief Scientist (who is also their co-founder), a Global Policy Head, and a General Counsel. However, they lack the three positions outlined above in executive leadership positions, leaving the biggest questions surrounding the repercussions of their technology unaddressed.
Building a Responsible Future
To create a more responsible future where companies are trusted stewards of people’s data and where AI-driven innovation is synonymous with good, we need to bring broad-minded, differing perspectives to the table where decisions are made. This includes:
- Inventive Product Leaders: Who can translate abstract concepts and questions posed by ‘The Three’ into working software.
- Renaissance Engineers: Who can design ‘Human in the Loop’ workflows to implement safeguards, back doors, and kill switches as prescribed by the chief philosopher architect.
Conclusion
Addressing existential concerns about AI requires a diverse set of stakeholders who are equipped to address both short- and long-term impacts of the technology. Companies need to build a more responsible future where they are trusted stewards of people’s data and where AI-driven innovation is synonymous with good.
Related Topics:
- AI Ethics: The importance of developing and implementing ethical guidelines for AI development.
- Generative AI: The use of AI to generate new content, such as text, images, or music.
- TechCrunch Opinions: Expert opinions on the latest trends and developments in technology.
Recommended Reading:
- "The Future of AI: A Guide to the Most Important Developments" by Tom Chavez
- "AI Ethics: A Framework for Responsible Development" by Marina Temkin
- "Generative AI: The Future of Content Creation" by Maxwell Zeff
