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AI Literacy & Responsible AI Trainings

Stay ahead of AI regulation. Build AI literacy and skills. Ensure responsible adoption.

With the EU AI Act reshaping regulatory requirements, financial institutions must advance AI literacy and upskill teams to ensure responsible and compliant AI adoption. Understanding AI risks, governance, and ethics is now a strategic necessity.

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At ACE + Company, we specialise in AI regulation, governance, and change orchestration, making us the ideal partner to help financial institutions integrate responsible AI into their operations. Leverage our team’s deep regulatory expertise, interdisciplinary approach, and robust risk management knowledge to foster Responsible AI practices and drive successful AI initiatives in your organisation.

Responsible AI trainings

We offer pre-defined modules covering a range of responsible AI topics, which can be tailored upon request to meet your organisation’s specific needs. Our training programs equip teams to navigate AI risk management, compliance, and ethical AI practices effectively.

AI Act Training for Legal, Compliance & Risk Professionals

On-site or online 2-4 hours

This training provides a focused overview of the EU AI Act, equipping legal, compliance, and risk professionals in the financial sector with the knowledge to navigate and apply the regulation effectively. Participants will learn how to classify AI systems by risk level, understand the obligations for high-risk and general-purpose AI, and assess the impact on their organisation’s governance, documentation, and oversight requirements. The module covers key regulatory concepts such as conformity assessments, post-market monitoring, and fundamental rights risk management. Practical guidance is provided on aligning internal processes with AI Act expectations and preparing for enforcement.

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AI Risk Management

On-site or online 4-8 hours

This training equips professionals in the financial sector with the skills to identify, assess, and manage risks associated with AI systems. It covers key AI-specific risk categories such as bias, explainability, model drift, data quality, and regulatory non-compliance. Participants will learn how to integrate AI risks into enterprise risk management frameworks, apply risk assessment methods across the AI lifecycle, and design appropriate controls and monitoring mechanisms. The module also explores emerging risks related to generative AI and provides practical tools for risk classification, impact assessment, and mitigation planning.

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AI Governance

On-site or online 4-8 hours

This training provides a practical foundation in AI governance within the financial sector, focusing on how financial institutions can responsibly manage AI systems across their lifecycle. Participants will learn how to design and implement an AI governance structure aligned with business strategy, embed governance into existing risk management frameworks, and operationalise AI principles such as fairness, accountability, and transparency. The module also covers integrating governance controls throughout the AI model lifecycle and introduces specific considerations for generative AI.

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Responsible AI for impact: Scaling (Gen)AI with Confidence and Control

On-site or online 4-8 hours

This training equips financial institutions with the knowledge to scale AI and generative AI initiatives responsibly and safely, balancing innovation with ethical, regulatory, and operational guardrails. It explores how to embed Responsible AI principles – such as fairness, accountability, and transparency – into practical governance, model development, and business processes. Participants will learn how to design scalable guardrails, align with internal risk appetite and external regulations, and build trust with stakeholders.

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Tailored trainings

We also offer modules that can be tailored in length, content, and target audience to meet your organisation’s specific needs. Our tailored training programs equip teams to navigate AI risk management, compliance, and ethical AI practices effectively.

AI Awareness: What does AI Means for You?

On-site or online 2-4 hours

This introductory training helps staff across all functions in financial institutions build a clear, practical understanding of artificial intelligence; what it is, how it works, and what it means for their roles. Concepts such as machine learning, automation, and generative AI are explained in accessible, non-technical language. The content is fully customisable to your organisation’s context – we tailor examples, use cases, and risks to your organisation, internal policies, and the specific roles of your employees. Whether your teams interact with AI directly or indirectly, the session raises awareness of key opportunities, responsible use, ethical considerations, and how AI may affect day-to-day decisions and workflows. No technical background is required. Ideal for creating a shared understanding and responsible AI culture across your organisation.

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RAI for executives: Compliance, Risk and Culture in Financial Services

On-site or online 2-4 hours

This focused executive session provides senior leaders in the financial sector with practical insight into governing AI responsibly within the regulatory and risk landscape of financial services. It covers key topics such as aligning with the EU AI Act, integrating AI into existing risk and compliance frameworks, and embedding ethical principles into decision-making and oversight. Designed for CROs, CCOs, board members, and senior management, the session is tailored to your organisation’s structure, regulatory priorities, and AI maturity – ensuring relevance and actionable takeaways from a governance-first perspective.

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Our team: The minds behind our Responsible AI proposition

Leading this initiative is Iris Wuisman, Partner at ACE and former Professor of Corporate Law at Leiden University. As a thought leader in AI governance, corporate liability, and regulatory compliance, Iris brings deep expertise in aligning AI innovation with legal and ethical responsibilities.

Iris Wuisman

Partner Regulatory Strategy and Innovation

Iris brings a wealth of expertise with her profound understanding of AI regulations and rich background in technology law. With a PhD in Business Law and expertise in corporate governance, Iris transforms complex regulatory landscapes into actionable compliance strategies. Her ability to align innovative AI initiatives with ethical standards ensures your projects are not only cutting-edge but also rooted in sound governance.

Alice Al Tayar

Senior Consultant

Alice is specialised in risk management and compliance monitoring. Her practical approach and deep industry knowledge excel in creating robust frameworks that harness the full potential of AI. Alice’s skills set ensures your AI initiatives adhere to regulatory changes and are supported by robust risk management frameworks.

Louise Van Koppen

Consultant

Louise is a catalyst for regulatory change, combining regulatory insight with interdisciplinary thinking. Her deep understanding of AI regulations, coupled with her project management skills, enable her to adeptly navigate the evolving landscape of responsible AI. Louise’s ability to synthesize diverse perspectives ensures that your responsible AI framework is dynamic and resilient.

Jakob Tjurlik

Business Analyst

Jakob combines frontline banking compliance experience with hands-on work in explainable, ethics-driven AI. His strong grasp of RegTech and non-financial risk helps organisations understand the impact of emerging AI obligations and translate them into concrete, accountable practices. Jakob’s structured, stakeholder-focused approach keeps AI governance initiatives both transparent and business-ready.

Mila Verhaag

Business Analyst

Mila operates at the intersection of AI governance, financial systems, and ESG considerations. She supports Responsible AI initiatives by applying strong analytical skills to break down complex challenges and contribute to practical, cross-functional solutions. Her background enables her to bridge technical insights with governance priorities, ensuring AI strategies are both ethical and effective.

Ready to take your Responsible AI journey forward?

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