From Claude to Daybreak: What’s next for AI policy in finance?
In this blog, we trace the emerging contours of India’s domestic approach to governing AI in finance and identify the priorities that should shape the next phase of policy thinking, in light of alarm bells triggered by Mythos, and OpenAI’s cybersecurity initiative, Daybreak.
Mitigating AI-related harms in finance: From model governance to systemic resilience
The growing prominence of Responsible and Trustworthy AI (RTAI) frameworks reflects increasing recognition of these harms. Contemporary RTAI approaches recommend safeguards across the lifecycle of AI systems to ensure explainability, transparency, contestability, auditability, and human oversight, while reducing the potential for bias and discrimination.
Principles of responsible and trustworthy AI in digital lending
The paper explores what RTAI means in the context of digital lending. The first section compiles principles of RTAI along with its essential components. The next section maps relevant tools for each principle. These tool recommendations can help lenders implement RTAI practices in their operations.
Responsible and Trustworthy AI in Digital Lending: From Principles to Practices
This Whitepaper unpacks what RTAI would mean in the context of digital lending. While the term Responsible AI has been adequately conceptualized in academia and elsewhere, it still needs to be coherently contextualized to specific domains.
