Responsible AI
Responsible AIAI Training
T3 Head of Responsible AI - Jen Gennai is a leading voice and pioneer in AI Risk Management, Responsible AI, and AI Ethics.
WHY TRAIN YOUR TEAMS IN RESPONSIBLE AI?
Implement Responsible AI aligned with Board visions
5x Alignment of Structure & Strategy
AI-enabled organizations are 5 times more likely to hit targets
€7.5 M - 7.5% of Turnover Fines
EU AI Act Regulatory Fines
(Phasing starting August 2025)
$1 Trillion Saving
Cost Reduction from effective use of Autonomous Research in FS
82%
of C-suite and other senior executives agree that “scaling AI or generative AI is a top priority for their organization.”
Quality & Reputation
Reduced Bias and Increased Transparency is key to ensuring effective decision making and customer/shareholder trust
DOWNLOAD THE EU AI ACT GUIDELINE
Get your free copy of the EU AI ACT Guideline
Hands-on Training Designed for Executives
TRAINING MODULES
AI Foundation
Introduction to AI in Finance incl. Gen AI
- Discover how AI works
- Explore foundational AI concepts like Machine Learning
- Learn about the rise of Generative AI
- Understand the capabilities & limitations of AI tools
Pillars of Responsible AI
- Overview of principles and practices for AI management
- Regulatory frameworks for Responsible AI
- Comprehensive training on AI governance
AI Standards & Global/EU Regulation
- Key principles, objectives, and definitions from the EU AI Act
- Overview of UK AI Principles
- Implications and approach to compliance
Advanced Responsible AI
AI Governance
- Recognize potential security risks in AI use
- Apply AI harms framework to workplace scenarios
- Mitigate unfair biases and inaccuracies in AI
- Use AI responsibly and effectively
Operational AI & Ethical Deployment
- Methodologies and best practices for Responsible AI deployment
- Focus on practical aspects: system design, risk management, continuous monitoring
- Ethical AI implementation strategies
AI Validation
- Knowledge and skills for rigorous AI testing and validation
- Model accuracy, robustness, and reliability
- Compliance with regulatory standards (EBA, FCA, ESMA)
AI for C-suite
AI Essentials for Boards
- Foundational understanding of AI technologies for board members
- Strategic implications, risks & opportunities of AI
- Knowledge to oversee AI initiatives and make informed decisions
AI Governance & Oversights
- Principles and practices for robust AI governance frameworks
- Ensuring compliance and managing risks
- Upholding ethical standards in AI deployment
AI Assurance
- Methodologies for auditing and assuring AI performance
- Evaluating fairness and compliance of AI systems
- Verifying reliability and ethical integrity of AI models
Benefits of the training
Unified Responsible AI Approach
Our training ensures a cohesive understanding of Responsible AI principles across all levels, from Board members and senior leaders to junior staff. By aligning everyone on a shared vision, we enable strategic AI integration that is both relevant and engaging, fostering a culture of responsible innovation throughout the organization.
Get AI Right the First Time
Avoid costly mistakes with our focus on secure, efficient AI implementation from the outset. By applying industry-leading best practices, we help your teams bypass the pitfalls of trial-and-error, conserving valuable time and resources while minimizing risk.
Diverse Insights for Superior Decisions
Our training incorporates diverse perspectives, enriching decision-making with a blend of industry best practices and innovative, inclusive thinking. This diversity of thought not only enhances the quality of decisions at the highest levels but also fosters a culture of creativity and inclusivity across your organization.
Hands-on Training Designed for Executives
TRAINING MODULES
EU AI Act Compliance
Prepare your organization for the upcoming EU AI Act, with phasing starting in August 2025. T3 training ensures that your team is well-equipped to meet these new regulations, providing you with the knowledge and tools to stay compliant.
Expert-Led by Jen Gennai
Learn from a global leader in Responsible AI, Jen Gennai. With her extensive experience and pioneering work in AI Risk Management, your team will gain insights directly from one of the foremost experts in the field.
AI First Time Right
Leverage AI effectively and responsibly with T3’s ‘AI First Time Right’ approach. Our training programs focus on implementing AI solutions correctly from the outset, minimizing risks and maximizing benefits for your organization.
About Jen Gennai - Head of Responsible AI
Jen Gennai is a leading voice and pioneer in AI Risk Management, Responsible AI, and AI Ethics. She is among the few in the world who has led and implemented such practices on a large scale, making her insights particularly valuable.
Founded Responsible Innovation at Google, one of the first institutions worldwide to adopt AI Principles to shape how AI is developed and deployed responsibly.
Informed governmental and private AI programs on how to manage and implement AI risks.
Contributed to EU AI Act, UK Safety Principles, G7 Code of Conduct, OECD AI Principles & NIST.
International Panellist & Speaker (Davos, World Economic Forum, UNESCO, etc.).
Responsible AI for me means taking deliberate steps to ensure technology works the way it’s intended to and doesn’t lead to malicious or unintended negative consequences
PRICES FOR TRAINING
* Maximum 12 participants per session (recommended 8-12). Responsible AI is in early stages and primarily adopted by large tech firms; therefore, higher fees cover travel and accommodation costs for in-person training.
Bespoke Training
Prepare your organization for the upcoming EU AI Act, with phasing starting in August 2025. T3 training ensures that your team is well-equipped to meet these new regulations, providing you with the knowledge and tools to stay compliant.
Virtual
Virtual
In Person
Bespoke Training
(1-3 day with a focus on specific audience, their roles & responsibilities)
*Maximum 12 participants per session (recommended 8-12). Responsible AI is in early stages and primarily adopted by large tech firms; therefore, higher fees cover travel and accommodation costs for in-person training.
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