AI101: AI Literacy – Risks, Liability & AI Act NEW

Agenda:

• Welcome and live poll

  • Where do you encounter AI today – often unnoticed? Interactive introduction via QR code

• What is AI – and why is it different from traditional IT?

  • AI vs. rule-based software: the crucial difference

  • Why AI does not work deterministically – and what this means for your work

  • AI in everyday software: Microsoft™™ 365 Copilot, assistants in specialized applications & Co.

• The risks – what can go wrong

  • Hallucinations: when AI is confidently wrong  

  • Data privacy & confidentiality: what does not belong in an AI system

  • Bias & discrimination: when AI systematically disadvantages

  • Prompt injection & shadow AI: the underestimated attack vectors

  • Live demo: AI risks in action

• Legal framework: what the AI Act demands from companies

  • Provider or operator: which role your company assumes

  • Art. 4 AI Act in the current version: promotion of AI literacy instead of literacy guarantee

  • Prohibited practices and transparency obligations at a glance

  • Liability: who is responsible when AI makes mistakes

  • Documentation: how companies verifiably prove their measures

  • Roles in the company: Data protection officers, information security officers and AI officers

• Acting securely: rules for everyday work

  • Do's & Don'ts in AI deployment

  • Approved vs. unapproved tools: why an AI policy is important

  • Reporting channels for AI incidents

• Questions & practical cases from participants

• Knowledge test

• Certificate handover

Objectives:

• AI understanding: differentiate AI systems from classic, rule-based software and identify in the own work environment

• Risk awareness: identify and assess hallucinations, data exfiltration, bias, prompt injection and shadow AI

• Regulatory overview: know the obligations of the AI regulation for companies and classify their significance for the own daily work

• Secure behavior: apply concrete rules and reporting channels in handling AI tools

Furthermore, the course forms a good basis for further advanced courses, e.g.:

• AI100 AI Officer / KI-Beauftragter (DEKRA™™ KIB)

• AI110 AI GRC Executive Training

Target audience:

• All employees who use AI tools in a professional context – regardless of industry or department

• Managers who are responsible for the use of AI in their teams

• Companies seeking a documentable measure to promote the AI competence of their employees

Prerequisites:

• No prior AI knowledge required

• Basic PC skills

• Optional: smartphone for the live poll

Description:

The three-hour live online course AI101 AI Literacy – Risks, Liability & AI Act imparts the essentials for the secure handling of AI in everyday work: compact, practical and without technical prior knowledge.

The focus is on the risks that arise during the daily use of AI tools. These include false statements that sound convincing, the unintentional outflow of confidential data, distorted results and attacks via manipulated content. Live demonstrations make these risks tangible.

The course also classifies the legal framework. Art. 4 of the AI Act obliges providers and operators of AI systems to take measures to promote the AI literacy of their personnel. With the Digital Omnibus Regulation (EU) 2026/1744, this obligation was newly formulated in July 2026. Participants learn what this means for their company and their own everyday work and where liability risks lie beyond the AI Act.

At the conclusion, the participants receive a qSkills™™ certificate, which companies can document as proof of a conducted measure in the sense of Art. 4 AI Act.