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Survey Reveals Challenges in Implementing Responsible AI Practices
To explore the state of responsible artificial intelligence (AI) within corporations, MIT Technology Review Insights conducted a survey involving 250 business leaders. The findings underscore a strong recognition among executives regarding the necessity of ensuring AI trustworthiness; a significant 87% rated responsible AI as either a high or medium priority for their organizations.
Furthermore, a substantial portion of respondents—76%—identified responsible AI as not just important, but crucial in establishing a competitive edge in the market. However, despite this recognition, the survey revealed a notable gap in practical application. Only 15% of participants considered themselves well-prepared to implement effective responsible AI practices, highlighting a disconnect between intention and action.
Adopting responsible AI in the context of generative AI demands adherence to a set of best practices that progressive organizations are starting to embrace. Key strategies include cataloging AI models and data, while instituting governance protocols. Companies are encouraged to undertake thorough assessments, testing, and audits focused on risks, security, and regulatory adherence. Equally important is the necessity for expansive employee training and making responsible AI a pivotal focus for leadership to ensure sustainable implementation.
As Steven Hall, chief AI officer and president of EMEA at ISG, a global technology research and IT advisory firm, notes, “AI represents the most significant technological shift we have encountered, yet there is a marked disconnect in its governance.” He stresses that while there is widespread acknowledgment of AI’s transformative potential and a desire for robust governance, the current operational frameworks and funding dedicated to responsible AI are inadequately aligned with its vital importance to organizations.
This content was produced by Insights, the custom content division of MIT Technology Review. It was not authored by the editorial staff of MIT Technology Review.
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