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User control and freedom
Exercise

User control and freedom

Add two-step verification when changing sensitive information
Exercise

Add two-step verification when changing sensitive information

Ask for account details to verify
Exercise

Ask for account details to verify

Set your goals
Exercise

Set your goals

Show a link to delete the account
Exercise

Show a link to delete the account

Ensure user privacy and anonymity
Exercise

Ensure user privacy and anonymity

Design audit stakeholders
Exercise

Design audit stakeholders

Protect your files with the right access type
Exercise

Protect your files with the right access type

Exercise

Collaborating with data scientists

Choose the right permission type
Exercise

Choose the right permission type

Establishing ethical guardrails
Exercise

Establishing ethical guardrails

Exercise

Data bias: origins and impacts

Exercise

Articulating model constraints

Ask personalized questions
Exercise

Ask personalized questions

Exercise

Design audit frequency

Hiding and locking layers
Exercise

Hiding and locking layers

Value alignment in AI design
Exercise

Value alignment in AI design

Exercise

Planning and prerequisites for audits

Exercise

Understanding audit scope

Exercise

Strategies for diverse data collection

Balancing personalization and privacy
Exercise

Balancing personalization and privacy

Designing appropriate trust calibration
Exercise

Designing appropriate trust calibration

Evolving relationships with AI systems
Exercise

Evolving relationships with AI systems

Exercise

Balancing personalization with privacy and ethics

Exercise

Transparent documentation practices

Exercise

Cleaning and preparing datasets

Consent and choice architecture
Exercise

Consent and choice architecture

Exercise

Contextual privacy design

Exercise

Organizational hierarchies

Exercise

Designing response protocols

Exercise

Create a questioning framework

Historical design cases
Exercise

Historical design cases

Exercise

Risk assessment

Action reversibility
Exercise

Action reversibility

Implementing personalized pricing and offers
Exercise

Implementing personalized pricing and offers

Exercise

Sources of AI bias

Risk assessment frameworks for AI features
Exercise

Risk assessment frameworks for AI features

Exercise

Platform security patterns

Transparency in data collection practices
Exercise

Transparency in data collection practices

Balancing logging and privacy
Exercise

Balancing logging and privacy

Exercise

Designing version histories for AI-generated content

Data sharing between platforms
Exercise

Data sharing between platforms

Ethical dimensions of automation choices
Exercise

Ethical dimensions of automation choices

Exercise

Build a personal data confidence practice

Exercise

Understanding design-related policies

Simplify dashboards
Exercise

Simplify dashboards

Exercise

Technology constraints

Privacy solutions
Exercise

Privacy solutions

Exercise

Documenting AI usage transparently

Handling ethical issues in predicting customer behavior
Exercise

Handling ethical issues in predicting customer behavior