Responsible ML deployment
Monitoring, privacy, transparency and human oversight
Responsible ML deployment
Explore how choices about data and model design affect people and outcomes.
Mission briefing
Explore the concept, change an input, observe the result and explain what it means.
Select a cell to understand the outcome.
✎ Observation log
Record what you observed, what changed and one limitation.
CBSEMOCK AI & ML Virtual Labs · Educational conceptual model. Outputs are illustrative, not evidence of a validated or trained production AI system. Confirm class-wise syllabus alignment before assessment.
Teacher review · Practical rubric
Suggested assessment framework. Teacher may adjust marks to suit the class and task.
Teacher rubric score: 4 / 10
Complete record includes student details, practical notes, experiment title, date and teacher rubric. Existing lab-specific notebook and activities are retained.