Course Outline
Introduction to Responsible AI and Ethics
- Defining responsible AI and AI ethics
- Importance of ethical considerations in AI applications
- Key principles: fairness, accountability, transparency
Bias in AI and Mitigation Strategies
- Understanding bias in AI models and data
- Types of biases and their impacts on AI outcomes
- Bias mitigation techniques: pre-processing, in-processing, and post-processing
Ethical Auditing and Accountability in AI
- Introduction to AI auditing frameworks and tools
- Conducting audits to assess fairness and transparency
- Implementing accountability measures in AI systems
Exploring Ethical Frameworks and Compliance
- Overview of ethical frameworks like the EU AI Act and IEEE standards
- Legal and regulatory compliance in AI systems
- Case studies on responsible AI regulations and industry standards
Building Transparency and Explainability in AI
- Introduction to explainable AI techniques
- Building interpretable models for greater transparency
- Using tools for model explainability and decision traceability
Governance and Risk Management in AI
- Developing governance frameworks for responsible AI
- Risk management and ethical considerations in AI deployment
- Strategies for stakeholder engagement and oversight
Future Directions in Ethical AI
- Emerging trends and challenges in AI ethics
- Adapting governance frameworks for future AI technologies
- Promoting an ethical AI culture within organizations
Summary and Next Steps
Requirements
- Basic understanding of AI and machine learning concepts
- Familiarity with data privacy and compliance standards
Audience
- Data scientists and AI practitioners interested in ethical AI development
- Compliance officers and legal professionals overseeing AI regulation
- Business leaders and decision-makers involved in AI strategy and governance
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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