The governance framework surrounding artificial intelligence focuses on establishing and maintaining confidence in AI systems, mitigating potential harms, and safeguarding these systems from vulnerabilities. This encompasses the policies, procedures, and technologies employed to ensure that AI operates reliably, ethically, and securely. For example, it includes measures to prevent biased outputs from machine learning models, protocols for data privacy protection, and safeguards against adversarial attacks that could compromise system integrity.
Effective implementation of this framework is critical for fostering public acceptance of AI technologies, protecting individuals and organizations from adverse consequences, and realizing the full potential of AI-driven innovation. Historically, concerns about algorithmic bias, data breaches, and the potential for misuse have underscored the necessity for proactive and comprehensive risk management. Addressing these concerns allows organizations to deploy AI responsibly and maximize its benefits while minimizing its downsides.
