Description

This curriculum engages learners in the same breadth and complexity of decision-making found in multi-workshop ethical design programs for digital platforms, addressing real-world product dilemmas from algorithmic fairness to cross-jurisdictional compliance in intimate technology contexts.

Module 1: Defining Ethical Boundaries in Digital Intimacy Platforms

Decide whether to implement real-name verification, weighing user safety against privacy risks for vulnerable populations.
Implement location obfuscation features to prevent stalking while maintaining the functionality of proximity-based matching.
Establish content moderation policies for profile images that balance freedom of expression with community standards.
Design onboarding flows that require explicit consent for data usage without creating friction that increases abandonment rates.
Choose whether to allow users to filter potential matches by race or ethnicity, considering both user preference and discriminatory impact.
Develop protocols for handling reports of catfishing, including verification escalation paths and user notification procedures.

Module 2: Data Privacy and Consent Architecture

Structure data retention policies that comply with GDPR and CCPA while supporting personalized recommendation engines.
Implement granular consent toggles for data sharing with third-party analytics providers without overwhelming users.
Design audit logs for user data access that support compliance without introducing performance bottlenecks.
Evaluate whether to store sensitive attributes like sexual orientation or religious beliefs in encrypted fields by default.
Manage cross-device tracking in a way that preserves user anonymity while enabling fraud detection.
Respond to data subject access requests by building automated workflows that extract profile data, chat logs, and behavioral metadata.

Module 3: Algorithmic Fairness and Bias Mitigation

Adjust matching algorithm weights to reduce gender-based outcome disparities without degrading overall match quality.
Conduct bias audits on recommendation systems using demographic parity and equal opportunity metrics.
Implement shadow mode testing to compare new algorithm versions against fairness benchmarks before deployment.
Decide whether to disclose algorithmic influence on visibility (e.g., "boosted profiles") and how to label such interventions.
Address feedback loops where popular users become more visible, reinforcing existing inequalities in engagement.
Balance personalization with diversity by injecting serendipitous matches into recommendation feeds.

Module 4: Safety, Harassment, and Moderation Systems

Deploy AI-powered message screening for predatory language while minimizing false positives on consensual flirtation.
Design escalation paths for user-reported harassment that integrate human review without creating response delays.
Implement mutual consent requirements for photo sharing to prevent non-consensual image distribution.
Develop safety check-in features that trigger alerts when a user fails to confirm post-date status.
Establish criteria for temporary versus permanent account suspensions based on severity and recurrence of violations.
Partner with domestic violence organizations to create discreet exit mechanisms from the app interface.

Module 5: Inclusivity and Representation in UX Design

Select gender and orientation options for user profiles that reflect diverse identities while maintaining database integrity.
Design accessibility features for visually impaired users without compromising the visual-centric nature of dating apps.
Localize content and interface elements to respect cultural norms in regions with differing views on dating.
Ensure representation in stock imagery and promotional content across age, body type, disability, and ethnicity.
Implement pronoun display settings that are visible by default but editable per user preference.
Test onboarding flows with neurodiverse users to reduce cognitive load and decision fatigue.

Module 6: Monetization Models and Ethical Trade-offs

Determine whether premium features (e.g., unlimited swipes) should be time-limited or behavior-based to avoid exploitation.
Restrict visibility of paid promotions in match queues to prevent economic bias in user discovery.
Design freemium models that do not coerce users into paying to access basic safety or communication tools.
Monitor for predatory usage patterns, such as bots or fake profiles, in high-spending user segments.
Evaluate the ethics of A/B testing pricing strategies on vulnerable user cohorts.
Disclose ad targeting criteria to users when third-party advertisers sponsor profile boosts or events.

Module 7: Regulatory Compliance and Cross-Jurisdictional Challenges

Adapt age verification processes to meet varying legal standards for consent across countries.
Configure data routing to ensure user data from restricted regions does not transit through non-compliant jurisdictions.
Modify matching logic in regions where same-sex relationships are criminalized, balancing safety and integrity.
Respond to government data requests by implementing legal review gates and transparency reporting protocols.
Update terms of service to reflect local laws on digital contracts and dispute resolution without fragmenting the user experience.
Design emergency takedown procedures for profiles linked to human trafficking or exploitation.

Module 8: Long-term Societal Impact and Platform Responsibility

Measure changes in user loneliness and relationship satisfaction through longitudinal surveys and usage patterns.
Assess platform contribution to societal trends like declining marriage rates or increased short-term mating behavior.
Develop exit surveys for deactivated users to understand ethical concerns driving churn.
Engage with academic researchers to study the psychological effects of gamified dating interfaces.
Establish advisory boards with ethicists, sociologists, and user advocates to review major feature launches.
Report on carbon footprint associated with data center usage and optimize image compression to reduce environmental impact.