To ensure responsible use, AI providers and tech companies should implement robust AI governance frameworks that address data quality, security, and ethical guidelines by conducting regular audits, monitoring performance, and deploying bias mitigation strategies. Clear policies must also be established to ensure regulatory compliance and to foster transparency, accountability, and fairness in AI systems.
Responsible AI is about creating systems that are transparent, equitable, and accountable, avoiding biases that can lead to societal harm. As AI becomes ubiquitous, ensuring it upholds these values is crucial for maintaining trust and fostering innovation that benefits everyone. Besides the relevant initiatives by the Singapore government, what are some responsible AI practices that organisations should adopt?
Phoebe Poon, vice president of Product Management, Aicadium:
