Location: FESTAAL – Vienna Marriot Hotel

The session explores the opportunities and pitfalls of using generative AI in research, measurement and evaluation. This session will contrast ideal scenarios („“fairy tales““) with real-world challenges and missteps („“horror stories““) when integrating GenAI into research processes. Attendees will gain insights into how GenAI can augment AMEC-aligned frameworks, ensure rigorous methodologies, and deliver actionable insights while safeguarding accuracy, transparency, and ethics.

– Understand how to use AI-generated insights to answer client-specific research questions while preserving rigor, accountability, and transparency.
– Explore real-world pitfalls, including bias, misinformation, and over-reliance on AI-generated outputs, and discover strategies to ensure research remains credible, ethical, and aligned with AMEC standards.
– Discover how human expertise combined with GenAI can elevate the quality of evaluation by validating outputs, contextualizing findings, and ensuring alignment with client objectives and the IEF stages.
– Learn best practices for using GenAI ethically, ensuring compliance with data privacy laws and copyright protection, and avoiding the dangers of „“black box““ AI in client reporting.