The presentation covered the Act’s key aspects, risk assessment approaches, and practical steps for compliance, particularly within the hospitality sector. Bart also provided insights into the current enforcement landscape and the evolving AI regulatory space in the EU. One of my observations was similarities to how GDPR evolved and was implemented.
– Guest and Customer Relations – Travel assistance solutions for consumers.
– Pricing and Marketing – AI powered pricing and positioning solutions with a focus on mitigating bias.
– HR Solutions – AI tools for HR, noting a focus on mitigating bias.
– Machine-Based and be operated by machines, not just humans.
– Have a level of Autonomy in it’s operation.
– Be capable of processing information and adapting behavior (Adaptiveness).
– AI Systems: AI applications geared towards end users. Examples include co-pilot or ChatGPT. Most travel assistance solutions are likely to be categorized as AI systems. These are the core focus of the AI Act.
– General Purpose AI Models: For example, large language models (LLMs) used to build AI systems.
– Non-Covered AI: Simple software that doesn’t meet the definition of an AI system or General Purpose AI Model and does not have the feel of being an AI solution. It’s not covered.
The EU AI Act is a significant regulatory development that will impact the hospitality sector, particularly in the areas of guest relations, pricing and HR. A proactive approach involving detailed AI mapping, risk assessments, and robust compliance measures is crucial. While enforcement will be gradual, starting early and understanding the implications of the legislation will allow for a more seamless transition into compliance.
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I am not a legal expert on this topic and the above is purely my take-aways from the session conducted by
Bartholomäus Regenhardt
from Cooley LLP. Please reach out to your legal counsel for professional advice in this area.
