What is one of the outcomes expected from the proper governance of AI technologies?

Prepare for the IAPP AI Governance Test with our study tools, including flashcards and multiple-choice questions. Each question comes with helpful hints and explanations to boost your readiness.

The expectation of improvement in public trust of AI systems is rooted in the foundation of AI governance, which aims to ensure accountability, transparency, and ethical standards in the development and deployment of AI technologies. Proper governance involves establishing clear guidelines and frameworks that address concerns about privacy, bias, and the ethical use of data. When organizations adhere to these governance frameworks, it builds confidence among the public and stakeholders that AI technologies are being used responsibly and that their rights are being protected.

As a result, public trust is enhanced, making individuals and communities more likely to embrace and engage with AI technologies. This trust is crucial for widespread acceptance and usage of AI systems as these technologies play an increasingly significant role in various aspects of daily life, from healthcare to finance. The other outcomes are less aligned with the objectives of good AI governance; they typically suggest negative or counterproductive consequences.

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