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Use Cases

humuus is designed to support interactive educational experiences, with a primary focus on AI literacy, digital media education, and critical thinking in the digital age. Here are the key scenarios where humuus is currently being deployed at techagogics.

Deepfake Detective Workshop​

Understanding Synthetic Media and Its Impact​

In the age of digitalization, we face the challenge that synthetically generated media increasingly permeates our daily lives. The ability to create and distribute media content with minimal effort and in the shortest time has far-reaching consequences for our society and democracy. According to forecasts, by 2026, a large proportion of new media content available on the internet will be of artificial origin.

Workshop Focus: Building competencies in future skills such as media and digital literacy to remain capable of action in this "infocalypse."

Workshop Structure:

  1. Introduction to artificial intelligence fundamentals
  2. Context knowledge about deepfakes and their dangers
  3. Video demonstrations: Real vs. synthetic media comparison
  4. Quiz: Identifying deepfakes in practice
  5. Concrete action knowledge for detecting deepfakes
  6. Team activity: Analyzing media samples
  7. Discussion of political disinformation through synthetic media
  8. Best practices for media verification

Learning Outcomes:

  • Foundational knowledge about artificial intelligence
  • Context knowledge about deepfakes and their dangers
  • Concrete action knowledge for recognizing and dealing with deepfakes
  • Awareness of synthetically produced political disinformation
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Over 2,500 participants have completed this award-winning workshop.

GPT Detective Workshop​

Understanding Large Language Models and Their Biases​

With increasing technological complexity, looking beyond one's own horizon becomes more difficult. ChatGPT has set a mass-market standard in Western industrialized nations, but does this mean we should trust its answers implicitly? The search for answers must begin with a look at the diversity of global Large Language Models.

Workshop Focus: Critical examination of LLM systems, their biases, and safe application methods.

Workshop Structure:

  1. Introduction to AI, LLMs, and Foundation Models
  2. Context about different LLMs and their global distribution
  3. Video: How language models are trained
  4. Quiz: Identifying AI hallucinations and biases
  5. Whiteboard: Mapping bias sources in AI systems
  6. Team activity: Comparing responses across different LLMs
  7. Practical exercises: Effective and safe LLM usage
  8. Risk identification and mitigation strategies

Learning Outcomes:

  • Knowledge about artificial intelligence, LLMs, and Foundation Models
  • Context knowledge about the distribution and existence of different LLMs
  • Concrete knowledge about biases in these systems and models
  • Understanding how biases can arise in application contexts
  • Action knowledge on using LLM systems for self-effective processes
  • Action knowledge on identifying and mitigating risks
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LLMs are based on different Foundation Models, trained with different datasets, which deliver different answers. ChatGPT and others can misinform people and construct false realities.

Data Detective Workshop​

Digital Footprints and the New Data Currency​

Data is mutating into the new currency in digital space. It forms the evaluable basis for forecasts, products, and is therefore a prerequisite for commercial offerings in any area of relevance. The collected data is preserved for eternity, forming a digital, individual biography of people that can be used by third parties.

Workshop Focus: Sensitizing participants to the opportunities and dangers of data collection in the age of Big Smart Data and AI.

Workshop Structure:

  1. Introduction to digital footprints and Big Smart Data
  2. Video: How data becomes valuable information
  3. Quiz: What data do you generate daily?
  4. Whiteboard: Mapping your digital footprint
  5. Team activity: Analyzing unexpected data contexts
  6. Discussion: Data tracking by smart devices
  7. Individual relevance of digital data traces
  8. Strategies for data protection and privacy

Learning Outcomes:

  • Knowledge about digital footprints and the relevance of Big Smart Data in interaction with artificial intelligence
  • Recognition of individual relevance that digital data traces can have for people (particularly in thematically unexpected contexts)
  • Knowledge about which data can be tracked by smart devices
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Society becomes increasingly readable in its needs and moods based on digital traces, and simultaneously more controllable.

Conspiracy Detective Workshop​

The digital synthetic information overload, also driven by more and more social media offerings, corresponds with the hyperpoliticization of everyday life. This also applies to consumer decisions. For example, wearing certain fashion brands advertised through social media takes on new relevance and political positioning.

Workshop Focus: Understanding how filter bubbles, echo chambers, and algorithms can lead to extremist and conspiratorial circles, resulting in the dissolution of social cohesion.

Workshop Structure:

  1. Introduction to conspiracy theories and their societal influence
  2. Video: How misinformation spreads online
  3. Quiz: Identifying false information across media types
  4. Whiteboard: Deconstructing conspiracy narratives
  5. Team activity: Evaluating information quality
  6. Practical heuristics for decoding conspiracy theories
  7. Assessment strategies for information quality
  8. Building resilience against misinformation

Learning Outcomes:

  • Knowledge about conspiracy theories and their possible societal influence
  • Recognition competencies for false information across different media products and genres
  • Recognition and evaluation strategies for assessing information quality
  • Concrete knowledge about applicable tools (heuristics) for decoding conspiracy theories
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The need for group belonging, coupled with algorithms and filter bubbles, develops its own dynamics that can lead into extreme and potentially conspiratorial circles.

Workshop Methodology​

All techagogics workshops utilize humuus's interactive features to maximize engagement and learning outcomes:

  • Real-time comprehension checks ensure participants grasp complex concepts
  • Collaborative exercises promote peer learning and critical discussion
  • Visual learning through whiteboards helps map abstract concepts
  • Team activities build collective intelligence and diverse perspectives
  • Immediate feedback allows instructors to adapt content delivery
  • Practical application ensures skills transfer beyond the workshop

Modular Application Beyond Current Focus​

While humuus is currently optimized for AI literacy and digital media education at techagogics, its modular architecture makes it highly adaptable to diverse educational contexts. The same node-based system that effectively teaches complex AI concepts, deepfake detection, LLM biases, data privacy, and conspiracy theory awareness can be reconfigured for:

  • General technology education and digital literacy
  • Scientific disciplines (biology, chemistry, physics)
  • Humanities and social sciences
  • Professional skills training
  • Language learning and communication
  • Creative arts education
  • Business and management courses
  • Civic education and democratic participation

The platform's flexibility allows institutions to create custom node types tailored to their specific pedagogical needs, making humuus a versatile foundation for any interactive learning experience that benefits from real-time collaboration and structured content delivery.