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Design Thinking and Innovation Metrics › Templates › Data-Driven Innovation 301
Data-Driven Innovation 301 · book page 329
Data Ethics Canvas
A canvas to define core principles for data, AI and neuroscience: purpose, laws and policies, data sharing, limitations, negative impact and engagement.
When to use it
Before collecting or combining data for a design challenge, and whenever AI or neuroscience is applied.
How to start
- Define the general purpose and core principles for working with data and AI.
- Check the applicable laws, sector policies, data sharing and the limitations of the data source.
- Plan how negative impact is minimized, how users are informed and how data can be erased.
The book explains the tool step by step, with examples of measurements.
More Data-Driven Innovation 301 templates
Data-Driven Innovation 301 · p. 327Data Ideation CanvasA canvas to combine data and observation: available data, personas from data, addressed needs, additional insights, metrics and customer impact.Data-Driven Innovation 301 · p. 344Design Thinking for AI CanvasA canvas to design AI solutions: value proposition, AI solution and user experience, data sources and rights, ecosystem configuration and value enhancement.Data-Driven Innovation 301 · p. 347Customer Journey AI TemplateA template to map an as-is customer journey and to redesign the interaction where AI adds the most value.
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Order on AmazonDesign Thinking and Innovation Metrics, Wiley 2023: every tool explained step by step.
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