What is Responsible AI?

Responsible artificial intelligence (AI) involves the development and usage of AI systems in a way that is ethical, safe and in compliance with legal requirements. It involves a set of principles that takes into account the transparency, fairness, accountability, inclusiveness, privacy, reliability and safety of the AI systems.

Organizations that adopt AI are encouraged to have a strong and ethical AI framework that can help them harness the full potential of AI while minimizing unwanted outcomes and security risks. The framework must align with industry best practices, regulations and emerging standards and be transparent and trustworthy.

Responsible AI practices include:

• Developing a set of AI principles in line with the organization’s values and goals
• Deploying strong AI governance practices to protect sensitive data and comply with data protection regulations
• Integrating responsible AI practices across the AI development lifecycle – from data collection to monitoring
• Continuously monitoring AI systems to identify and mitigate biases, and ethical issues that may arise over time
• Educating employees, decision-makers and stakeholders about the importance of responsible AI