AI Literacy & Responsible AI Training

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.

more about Responsible AI

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.

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.

Our Responsible AI trainers

Alice Al Tayar

Senior Consultant

Steven Hendriks

Senior Consultant

Iris Wuisman

Partner

Mehul Mistry

Senior Data Scientist

Our Responsible AI modules

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

C-Level AI Strategy & Governance

On-site/online 1.5-2 hours

This session explores AI strategy, governance, and compliance, helping organizations align AI adoption with business objectives while managing risks. Participants will gain insights into regulatory frameworks, ethical considerations, and best practices for leveraging AI in decision-making.

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AI Ethics for 1st & 2nd Line Development Teams

On-site/online 3-4 hours

Designed for technical teams, this module covers ethical AI development and deployment, focusing on fairness, transparency, and accountability. Attendees will explore governance frameworks, data management practices, risk identification, and how to integrate responsible AI into AI models. Real-world financial applications and case studies are included.

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AI Ethics for DevOps & MLOps

On-site/online 3-4 hours

This technical deep-dive focuses on embedding responsible AI principles into DevOps and MLOps pipelines, ensuring continuous monitoring for bias, security, and compliance. Participants learn practical methods to integrate ethical standards from model design through deployment and maintenance, for robust AI systems.

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AI Ethics for Risk Officers & Auditors

On-site/online 3-4 hours

Centered on AI risk management, this module helps risk professionals and auditors implement robust controls for AI-driven processes. Participants delve into AI risk taxonomies, model validation, and third-party AI risk governance to ensure accountability and transparency in AI-driven decision-making.

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AI Incident Response & Crisis Management

On-site/online 2-3 hours

This session prepares teams to handle AI-related incidents swiftly and effectively, mitigating reputational, legal, and operational risks. Participants learn crisis management techniques, root cause analysis, remedial action implementation and post-incident reviews to strengthen organizational resilience.

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AI Act for Legal & Compliance Functions

On-site/online 2-3 hours

Focusing on the evolving EU AI Act and related regulations, this module equips legal and compliance professionals with the knowledge to navigate complex requirements. Participants explore risk classifications, obligations, and best practices for ensuring regulatory alignment in AI-driven processes.

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Data Management for Responsible AI

On-site/online 3-4 hours

This module focuses on building a solid foundation for responsible AI by ensuring robust data practices. Participants learn how to collect, store, and govern data in alignment with privacy, security, and regulatory standards, paving the way for transparent, compliant, and trustworthy AI solutions.

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Change Management for AI Adoption

On-site/online 2-3 hours

Successfully implementing AI requires organizational change. This training provides strategies to overcome adoption challenges, foster AI literacy across teams, and align AI initiatives with buasiness goals & company culture, ensuring responsible AI adoption at scale.

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Responsible AI for HR & People Functions

On-site/online 2-3 hours

A specialized session for HR and people managers, focusing on AI-driven hiring, performance management, and employee monitoring. Attendees will explore fairness and bias detection in AI-driven talent management, understand privacy considerations, and discuss best practices for ethically integrating AI into workforce decisions.

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Building an AI-Responsible Culture

On-site/online 1.5-2 hours

This interactive session is designed to help organizations build an AI-responsible culture across all levels of the organization. This training provides a foundation for ethical AI adoption, offering case studies, practical tools, and strategies for embedding responsible AI principles into governance and daily operations.

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AI for ESG & Sustainable Finance

On-site/online 1.5-2 hours

This module explores the strategic role of AI in supporting ESG objectives while effectively managing associated risks and impacts. Participants will discover how AI can drive innovation in sustainability (data analytics, reporting, risk modeling, supply chain due diigence, transition planning, green finance etc.), while addressing environmental, ethical, reputational, and regulatory challenges.

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AI Literacy & Responsible Use for all Employees

On-site/online 1.5-2 hours

This session offers a comprehensive introduction to AI for a broad audience, blending foundational AI literacy with practical skills and ethical awareness. It covers the basics of AI, including prompt engineering techniques, while gaining insights into the risks and ethical considerations of AI. Participtans will leave empowered to engage confidently with AI tools and understand their impact on business and society.

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