AI can be a force for good or ill in society, so everyone must shape it, not just the ‘tech guys’
– AI is a technology and should be viewed as a tool subject to human beliefs and constraints.
– AI's design includes rules that shape its responses and capabilities.
– The importance of inclusive and transparent processes in setting boundaries for AI tools.
– Designers, industry leaders, government agencies, and nonprofit organizations have the power to decide how and when to apply AI systems.
– Prioritizing community needs and dreams when implementing AI is crucial.
– Rushing to rely solely on AI systems can have tragic consequences, and the decision to not use AI is also powerful.
– Biases in data can lead to biased AI outputs, emphasizing the need for responsible technology tools.
– Examples of using AI responsibly include engaging communities, involving frontline workers, and considering societal context.
– Collaboration among technologists, leaders, policymakers, funders, and investors is essential to create equitable AI systems.
– Promising examples of AI benefiting society include agricultural knowledge access and language revitalization projects.
– Inequitable effects of technology compound over time, making collective efforts crucial for improving AI quality.