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Summary generated with NotebookLM:
Responsible AI is a priority for most executives, but only a small percentage feel prepared to implement it.
Companies recognize that responsible AI can provide a competitive advantage.
Many companies struggle with managing risks related to user adoption, bias, and regulatory compliance.
Implementing responsible AI involves cataloging AI models and data, creating governance structures, and conducting risk assessments.
Companies should focus on employee training, regular audits, and hardwiring compliance with regulatory standards.
Failing to implement responsible AI practices can lead to reputational damage and stalled implementations
Analyst commentary:
I'm intrigued by the fact that most respondents consider responsible AI essential and don't feel prepared to adopt it, but they adopted AI anyway. Also, most respondents think responsible AI will be a medium or high priority in the next 18 months. Will that be too late, though? Assuming respondents have been using AI for 6 months, it will take them 2 years to use it responsibly. However, only 26% think they can effectively address bias and fairness, and 23% believe they can do so for user adoption and change management.
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