Dimensions for ethical framework evalution criteria

DATA Controls

• Data Analytics Purposes: What are the accetable purposes for for data analytics - user choices ratings or favorites history analysis.

• Data Privacy: Standard data privacy controls with protection of sharing linked info like user name, age, address, contact info, family status.

• Data Value Derivatives: Derive user details - age based suggestions like if married, then provide kids product suggestions, retired then medication suggestions.

• Data science and AI: Type of data processed with AI and its outcomes - related to behaviors, travel, nationality, marital status, usage hours.

Personal Behaviour Controls

• Behavior mapping: Behaviors are acceptable to be mapped.

• Response Usage: Responses that can be used to derive suggestions.

Social Controls

• Social Network tracking : tracking for friends, relations, coworkers

• Social Behavior tracking: tracking for choices made in social groups, family, friends

Product controls

• Sector controls: Gov, Military, Commercial, International

• Industry specific controls: Healthcare, Travel, Online Shopping, Social Networking, Entertainment, Education, Personal Finances

• Lifecycle controls: Product lifecycle - boundaries of product to cross develop its currently defined boundary like Online Shopping tracking Personal Finances for ease of use.

Framework Scoring & Thresholds

Scoring

Qualitative and quantitative scoring: Use of rough levels like critical, high, medium, low. Success factors, ratings.

Thresholds

Cutoffs: Define passing criteria and related details.

Agile product evaluation

Reviews through Product lifecycle

Product like cycle phases: Ideation, POC, MVP1, Prototypes, General Availability

Reviews through General Availability

Periodic Evaluation: Recertification every 2 years for innovations in consideration, product expansions