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Scale AI, a leading generative AI startup, is calling on Congress to address critical AI safety, data, and definitional issues before the year's end. In a letter from CEO Alexandr Wang to key congressional leaders, the company emphasized the need for the establishment of the AI Safety Institute, which would help bridge measurement science gaps in AI research. Additionally, Scale AI advocates for federal agencies to convert raw data into AI-ready formats to enhance the effectiveness of AI outputs across government operations.
The letter also stresses the importance of clear definitions for AI developers and deployers to foster collaboration within the AI ecosystem. This clarity is essential to prevent a fragmented approach that could hinder progress in AI development. Scale AI's proactive stance in regulatory discussions highlights its commitment to safe and trustworthy AI practices, especially as the company has recently secured significant funding and achieved a high valuation.
• Scale AI urges Congress to establish the AI Safety Institute for better oversight.
• The company emphasizes the need for AI-ready data across federal agencies.
The AI Safety Institute is proposed to address measurement science gaps in AI research.
AI-ready data refers to data that has been processed for effective AI model training.
Definitional clarity involves establishing clear terms for AI developers and deployers to enhance collaboration.
Scale AI is a generative AI startup advocating for regulatory measures to enhance AI safety and data standards.
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