In A.I. We Trust
AI Trust and Safety
As ML systems is set towards the AI that we very much wanted, evolving ML systems are more integrated into society. Ensuring trust and safety in their deployment is paramount that the systems are both safe and secure. This is crucial in preserving privacy, preventing misuse, abuse, misapplications and maintaining the ethical standards associated with AI applications.
Governance for AI Trust And Safety
Corporate Governance
Establishing robust corporate governance ensures that AI applications are cost-effective, business-oriented, and aligned with ethical standards. This involves setting policies that prioritize safety, security, and ethical conduct. This includes considerations for responsible AI use, potential societal impact, and adherence to legal and regulatory frameworks.
Security Governance
This is in addition to conventional security modules like Continuous Monitoring and Auditing, which subsumes Real-time Monitoring and Regular Auditing, are in-place.
Data Governance covers secure processing (including data formatting and secure processing segregation between data parameters and operands and command operators), data safety (data classification recognition and redaction), and…