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• Startups are important players in the responsible AI space and often have the most to lose by getting it wrong
• A loose framework for responsible AI development includes accountability, behavioral alignment, continuous monitoring, and documentation
• Developers should ask boundary and purpose questions to ensure the tool is aligned with desired outcomes
• Incentives should be aligned with desired outcomes to avoid undermining the development process
• Continuous monitoring is important to stay vigilant around the actual impact of the tools
• Documentation is important to demonstrate the seriousness with which responsible AI is taken
• Frameworks for responsible AI development are necessary until regulations are developed, adopted, and tested