Ethics & Data Privacy Exercises
Explore hands-on “Ethics & Data Privacy” exercises to sharpen your skills and level up your craft. Want more? Browse all search results

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Dark pattern

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Provide visible exit options to make users feel in control

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Explain the consequences

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Avoid making users feel guilty and experience a fear of missing out

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Privacy zuckering

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Ethical considerations in service design

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Avoid asking trick questions

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Scaremongering

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Sneaking items into users' carts
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Bait and switch

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Provide helpful defaults that improve user experience

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Avoid hiding costs to lure users in

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Be aware of privacy concerns

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Disguised ads

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Avoid forcing users to stay subscribed

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Provide clear and accurate information based on user needs

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Friend spam

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Price comparison prevention
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Ensure ethical AR placement

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Ensure user privacy and anonymity

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3D recognition

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Protect your files with the right access type

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Potential reality distortion
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Collaborating with data scientists
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Data-driven vs. rule-based decision making

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Establishing ethical guardrails

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Ensure your designs are ethical
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Data bias: origins and impacts

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What are UX design ethics?

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Practice environmental sustainability
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Unpredictability and edge cases

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Value alignment in AI design

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Comply with accessibility requirements
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Inclusive AI design principles
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Why data beats opinions

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Explore their social media

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Promote safety, security, and privacy

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Why are design ethics important?

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Frameworks for fairness evaluation
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Strategies for diverse data collection

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User control and empowerment

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Respect your users

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Be inclusive

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Balancing personalization and privacy

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Defining the guardrail spectrum

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Avoid ruining user experience

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Give users control

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Designing appropriate trust calibration

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Evolving relationships with AI systems
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