Interactive workshop on identifying AI risks and opportunities in your organization
Welcome to this interactive workshop on identifying AI risks and opportunities. This session is designed to help you apply the knowledge gained about AI and the EU AI Act to practical scenarios in your organization.
Choose from several scenarios across different sectors. Each case presents unique challenges and considerations for AI implementation.
Identify potential AI applications within the chosen scenario and consider how these might be implemented.
Assess potential risks and challenges associated with the AI systems, considering both technical and ethical dimensions.
Explore the potential benefits and opportunities that responsible AI implementation could bring to the scenario.
Develop concrete recommendations for implementing AI responsibly, addressing the identified risks while maximizing opportunities. Consider how the EU AI Act principles should inform your approach.
Select a case study from the options below to explore AI risks and opportunities in different contexts
You are the HR Director at a large multinational corporation with 15,000 employees across 25 countries. The company is looking to modernize its HR processes and is considering implementing AI systems to improve efficiency and decision-making.
Current challenges:
Organizational context:
Based on the case study, list the potential AI systems that could be implemented. Consider the specific challenges mentioned and how AI might address them.
What risks or challenges might arise from implementing these AI systems? Consider ethical, legal, technical, and organizational factors, particularly in relation to the EU AI Act.
What benefits and opportunities could these AI systems bring to the organization? How might they address the challenges mentioned in the case study?
Based on your analysis, what recommendations would you make for implementing these AI systems responsibly? Consider governance structures, risk mitigation strategies, and compliance with the EU AI Act.
Assessing AI risks in organizational contexts requires systematic analysis. The EU AI Act provides a framework based on risk categories that can guide your approach to AI governance.
When analyzing AI implementations, consider how the EU AI Act's risk categories apply to your scenario:
A comprehensive AI governance framework should address risks while enabling innovation. Consider the following elements when developing recommendations:
Establish a structured process for evaluating AI systems according to the EU AI Act risk categories. This should include initial assessment, ongoing monitoring, and regular reviews as systems evolve.
Define clear roles and responsibilities for AI governance. Consider establishing an AI ethics committee or designating specific roles for overseeing high-risk systems.
Implement robust documentation practices for AI systems, including data sources, model design, training methods, and testing procedures. This supports both compliance and responsible use.
Develop protocols for testing AI systems before deployment and monitoring them in operation. This should include checks for bias, performance, security, and compliance with regulatory requirements.
Ensure that staff involved in developing, implementing, or using AI systems understand relevant risks, compliance requirements, and governance procedures.
In this workshop, you've explored how to identify and analyze AI risks and opportunities in a specific organizational context. This practical exercise has helped bridge theoretical understanding of the EU AI Act with real-world implementation challenges.
Consider how you might apply these risk assessment and governance approaches in your own organization. The framework you've explored can be adapted to different sectors and AI applications to support responsible innovation.