AI Ethics and Responsible Use: Advanced

Level 0, topic 7 (part 2 of 2) of the BitByte AI path, for learners who finished the beginner course and can read basic Python. Saying that an AI feature should be fair, safe and accountable is easy. Showing how you assessed it, what you measured, what you documented and who decides is the practitioner's work. This course teaches that discipline on one bounded feature at a time.

You get a written tutorial in English and Bangla with Python examples that run offline on small invented toy datasets, hand-picked videos, and three exams. No API key, model call or paid service is needed. The course is educational and is not legal advice: standards and laws differ by country, sector and date, so it teaches how to map and check requirements rather than assuming one set of rules.

• Scope an impact assessment for a bounded AI feature, with stakeholders, harms, benefits and unknowns
• Build a risk register that separates inherent from residual risk and links each risk to a control, an owner and a review date
• Map principles, frameworks, standards and regulation to testable requirements, and say plainly what is voluntary and what is binding
• Compute selection rates and error rates on toy data in Python, and explain what a metric cannot show, including small-sample limits
• Apply data governance: purpose, consent, minimisation, quality, re-identification risk, data rights and records
• Write and check model cards, system cards and datasheets, reporting missing fields instead of inventing evidence
• Design meaningful human oversight, escalation and stop-use rules for high-stakes uses
• Analyse misuse, weigh trade-offs, test whether controls work, run an incident review and defend a proportionate go/no-go recommendation

• The beginner course: AI Ethics and Responsible Use: Beginner
• Python 3.12 or newer and comfort with functions, lists, dictionaries and files (the earlier Level 0 Python topic)
• No API key, no model access and no paid account: all examples run offline on the standard library