AI Adoption & Ethics in Financial Services

Our institution has formal ethical guidelines for AI use, documented in internal policies, governance documents, or compliance reports.

Regulatory and ethical compliance in line with EU regulations (e.g., EU AI Act) are integrated into our AI implementation processes.

Ethical considerations influence decisions regarding AI adoption and are reflected in strategic planning or policy documents.

A dedicated AI governance team exists with responsibilities formally assigned within the organizational structure.

Ethical issues related to AI are regularly discussed in formal governance or management meetings, with minutes formally maintained.

Internal mechanisms exist for identifying and escalating unintended consequences of AI applications.

Our institution is accountable for decisions made by AI systems, and a clear process exists for assigning responsibility and correcting errors when an AI-driven service fails.

Fairness considerations (e.g., minorities, gender) are systematically incorporated into AI development and deployment.

The criteria and logic used by AI systems are communicated to customers in an understandable way.

Explainable AI (XAI) techniques are applied in customer-facing systems and processes.

Human oversight ('human-in-the-loop') procedures for AI-assisted financial decisions are documented and enforced.

Employees have received documented training or guidance on ethical AI practices in 2025 and/or 2026.

The institution conducts periodic audits or evaluations of AI systems for ethical and regulatory compliance, and can provide supporting audit documents or committee records.

Monitoring procedures that address fairness and accountability in AI systems are documented and reviewed regularly.

The institution produces periodic documentation evaluating the effectiveness of its AI ethical governance practices.

Internal or external reports on ethical compliance in AI are prepared and incorporated into compliance or risk management reporting.

Records of customer privacy and data protection assessments related to AI use are maintained.

Our institution has formal ethical guidelines specifically covering AI use in asset management.

Ethical considerations are incorporated into AI-based portfolio management decisions.

Written records demonstrating ethical review procedures for AI-based asset management systems are maintained.

Potential bias in AI-supported credit scoring systems is systematically evaluated.

Ethical risks are assessed before implementing AI-based credit tools.

Human oversight ('human-in-the-loop') is maintained in AI-assisted lending decisions.

AI-supported customer interactions are monitored for fairness and transparency.

Ethical concerns are considered in AI-driven IT operations and automation processes

Documentation exists regarding transparency practices for AI-based customer services.

Ethical safeguards are incorporated into AI-based fraud prevention systems.

AI systems used for fraud detection are regularly reviewed for ethical compliance.

Customer privacy is considered and protected in AI-supported fraud monitoring activities.

I intend to continue using AI-powered tools or systems in the future.

I will use AI-powered tools or systems increasingly in the future.

I intend to rely on AI-generated recommendations, analyses, or decisions when performing my job responsibilities.

I will continue to rely on my own judgement rather than AI recommendations when performing my job responsibilities.

I am knowledgeable about AI development.

I have developed AI tools or solutions using methodologies such as machine learning, deep learning, or neural networks.

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Highest level of education completed

Subject expertise / primary field of study

Current job / role

Type of financial services provider