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Kate Crocker: Ethical design in the age of AI

AI in Business

Release Date: 10/29/2024

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In this conversation, Kate Crocker, an expert in dark patterns and AI, discusses the manipulative design tactics used on websites and apps that trick users into unintended actions. She explains the implications of these dark patterns for consumers, particularly in the context of data privacy and online scams. The discussion also covers how generative AI can inadvertently create dark patterns and the ethical considerations businesses must navigate when using AI. Finally, Kate highlights the upcoming regulations aimed at curbing dark patterns and promoting ethical design practices.
 
Takeaways
  • Dark patterns manipulate users into unintended actions.
  • They exploit cognitive biases, leading to decision fatigue.
  • Generative AI can create dark patterns that are hard to detect.
  • Deepfakes pose risks of misinformation and privacy invasion.
  • Informed consent is compromised by manipulative designs.
  • Regulations against dark patterns are on the horizon.
  • Consumers increasingly demand ethical practices in design.
  • Dynamic pricing can exploit user behavior and preferences.
  • AI's rapid data analysis can personalize dark patterns.
  • Businesses have a unique opportunity to adopt ethical practices.

 

Sound Bites

  • "Dark patterns are designed tricks to manipulate users."
  • "Dark patterns exploit cognitive biases and decision fatigue."
  • "AI can easily create dark patterns that are hard to detect."

 

Further resources

https://www.katecrockercopywriter.com.au/dark-patterns-consultant/ (there’s a free downloadable information sheet on this page)

Australia

https://www.oaic.gov.au/privacy/privacy-guidance-for-organisations-and-government-agencies/guidance-on-privacy-and-the-use-of-commercially-available-ai-products

https://www.industry.gov.au/publications/voluntary-ai-safety-standard/10-guardrails

European Union

https://artificialintelligenceact.eu/

 

 

dark patterns, AI ethics, consumer protection, legal design, ethical design, data privacy, generative AI, user experience, digital manipulation, online scams