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  • Product biografie - Catch Your Crime Profile
  • 📚Table of contents
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    • 🧾Progress
  • Research
    • 🗺️ Exploring subjects
    • 💻Deskresearch
      • 🔍Search terms
      • ❓Sub-questions
        • 🤖Algorithms
          • Numbers
          • What are the possible causes of biased algorithms?
          • What is Machine Learning?
          • What type of algorithmic biases are there?
          • What are Algorithms?
        • 🚔Predictive policing
          • What is predictive policing?
          • Can ‘predictive policing’ prevent crime before it happens?
          • What is trust and confidence in the police?
          • What does sense of security mean?
          • What are the consequences of predictive policing?
        • 🏥Healthcare
          • How do predictive diagnostics work?
          • Can voice predict or diagnose diseases?
          • Can a chough predict Covid-19
          • How is AI Transforming Health Care?
          • How to show biases in ML models ?
          • What cyberchondria ?
          • Example
        • 🧠Cognitive
          • What type of cognitive biases are there?
          • What exactly do we mean by bias?
      • 💡Interesting resources
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        • 📰Articles
        • 📖Papers
        • 🖼️ Examples
    • 📇People to contact
    • 🎤Interviews
      • Healthcare
        • Gerda van Norel - Domestic care
        • Shreyas Ramoji
        • Dr. Sriram Ganapathy
      • Predictive policing
        • Citizens in the city
        • Results
    • 📋Survey
      • Self-diagnosis
        • Results
      • Predictive policing
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    • 🧠Mindmap
      • Healthcare
        • Symptoms that may detected by audio
        • Data types to collect
      • Predictive policing
    • 📐Switch back subject
    • 💭Empathy map
      • Cyberchondria person
      • The observed citizen in the public space
    • 👁️‍🗨️ Target group
      • Cyberchondria
      • Predictive policing
    • 📝Problems
      • Self-diagnostics
      • Predictive policing and risk profiling
    • 👨Persona (target group)
    • ✔️ PvE
    • ✅MoSCoW
  • Concept & prototype
    • 🖼️ Inspiration wall
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      • Best, good and bad practices
      • Ideation
    • 🎨Moodboard
    • 📰Concept
      • 📔Concept idea's
        • Healthcare diagnostic tool
        • Risk profile tool
        • Catch your crime profile
      • ✏️ Sketches
      • Sitemap
      • Flowchart
      • Wireframe
      • Design choices
      • 🖌️ User interface
    • ⚙️ Prototype
      • Figma protoype v2
    • 🧪Usertest
      • Feedback frenzy
      • Testplan
  • Lectures
    • 📝Alberto Cairo
    • 📝Maarten Lambrechts
    • 📝Jan Rothuizen
    • 📝Jan Rothuizen (2)
    • 📝Andy Kirk
    • 📝Giorgia Lupi and Stefanie Posavec
  • Assignments CMD
  • 📌Afstudeervaardigheden
  • 📌Projectvoorstel
  • 📌Designbrief v1
  • 📌Designbrief v2
  • 📌Groenlicht presentatie
  • 📌Reflectie
  • Schedule
    • 🗓️ Project schedule
    • 🏷️ Schedule
  • Bibliography
    • 📚Sources
  • Freedback frenzy
    • 🗒️ Feedback frenzy tekst
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  1. Research
  2. 💻Deskresearch
  3. ❓Sub-questions
  4. 🤖Algorithms

Numbers

https://www.businessinsider.com/googles-deepmind-brings-artificial-intelligence-insights-to-kidney-disease-2019-8?international=true&r=US&IR=Twww.businessinsider.com

LogoUnderstanding the role of AI bias in healthcarewww.google.com
LogoIf AI is going to be the world’s doctor, it needs better textbooksQuartz
LogoKunstmatige intelligentie in zeven kritische aandachtspuntenwww.medischcontact.nl
LogoVoice Analysis Tech Could Diagnose DiseaseMIT Technology Review
LogoUnconscious Bias in Healthcarewww.qualityinteractions.com
LogoEthical limitations of algorithmic fairness solutions in health care machine learningThe Lancet Digital Health

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Last updated 4 years ago

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