Evident Responsible AI Report
Emerging best practices for Responsible AI deployment in banking.
Download the inaugural edition of Evident’s Responsible AI Report to learn about how leading banks are adapting their people, policies and processes to ensure they deploy AI models and systems responsibly
People
Transparency
AI Controls
Policy Compliance
Key Findings
1
TALENT
Leading banks are establishing dedicated Responsible AI (RAI) expertise within their governance, risk, and compliance teams to navigate the complexities of AI adoption. By forming cross-functional AI Governance Committees, they ensure robust data handling, greater model explainability, and proactive bias mitigation, all critical for maintaining transparency, regulatory alignment, and trust.
2
LEADERS
Banks are appointing dedicated Responsible AI (RAI) leaders to complement existing Governance, Risk, and Compliance (GRC) functions, ensuring AI oversight is both specialized and embedded across the organization. These leaders play a crucial role in aligning AI initiatives with regulatory expectations, driving cross-functional collaboration, and translating RAI principles into actionable policies and controls.S
3
TRAINING AND EDUCATION
Banks are developing structured programs to raise awareness of the risks associated with AI development, as well as what responsible usage looks like, fostering an innovation culture that supports governance by design.
4
CONTROL MAPPING
By aligning ethical commitments with practical governance measures, this exercise is a critical step to ensure AI systems remain transparent, auditable and compliant.
5
EXPLAINABILITY
Whilst the "black-box" complexity of AI models continues to be a challenge for AI developers, banks are prioritizing XAI research to provide the foundations for technical guardrails embedded into model development - critical for the auditability of AI-driven decision making and in turn user trust.
6
SAFETY CHECK
Equipping first-line operators with self-service diagnostic resources is key to ensuring the responsible use of Generative AI while streamlining governance processes. By providing structured assessment tools, banks can enable teams to evaluate risk, compliance, and ethical considerations early in AI development, reducing bottlenecks and accelerating approval for low-risk use cases.
7
ASSURANCE
Implementing an AI Assurance Platform is becoming essential for banks to keep pace with a rapidly evolving regulatory landscape. By integrating automated compliance checks, risk monitoring, and audit capabilities, these platforms provide a centralized framework for managing AI governance at scale.
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Responsible AI
The Responsible AI Report
This report explores the latest responsible and ethical AI activity across the banking sector, with an in-depth review of best practices leading banks are using to accelerate innovation while ensuring they deploy AI responsibly.
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