Wokutanga chokwadi · Mahara
Responsible AI Mushandisi
Shandisa AI zvine mutsindo uchidzivirira zvakavanzika, kutarisa zvinobuda, uye kuchengetedza kuzvidavirira kwevanhu.
Zve: Vadzidzi, vashandi, vagadziri, uye mazuva ese vashandisi veAI
- Kukurudzira nemamiriro ezvinhu2 Nhungamiro
- Kuongorora zvabuda2 Nhungamiro
- Zvakavanzika uye muridzi2 Nhungamiro
- Kufambiswa kwebasa kwakavimbika2 Nhungamiro
- 4Modules
- 8Nhungamiro
- ~5hKupedzisa
- 10Mano
Migumisiro
Zvauchakwanisa kuita
- Design clear prompts with useful context and constraints.
- Review outputs for factual, privacy, bias, and copyright risks.
- Build a repeatable human-in-the-loop workflow.
Inokurudzirwa kutanga: Nheyo dzeAI
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Curriculum
Kosi modules
- Module 1
Kukurudzira nemamiriro ezvinhu
Mhedzisiro: Turn vague requests into testable instructions.
Dzidzira: Rewrite a weak prompt with audience, context, constraints, examples, and success criteria.
Prompt and context designMutauro-muenzaniso mechanics - Module 2
Kuongorora zvabuda
Mhedzisiro: Detect unsupported claims and decide what requires verification.
Dzidzira: Annotate an AI answer as verified, attributed, uncertain, or unsupported.
Output review and error detectionKusarura uye kururamisiraMabviro uye ratidziro yekuda - Module 3
Zvakavanzika uye muridzi
Mhedzisiro: Choose safe inputs and understand content rights.
Dzidzira: Create a red/yellow/green data policy for an AI workflow.
Yakavanzika uye data kubataCopyright and content provenance - Module 4
Kufambiswa kwebasa kwakavimbika
Mhedzisiro: Combine AI assistance with checkpoints and human ownership.
Dzidzira: Map an existing task and mark where AI may draft, check, or never decide.
AI-assisted workflow designTool selection and comparisonAutomation miganhu uye kuchengetedza
Ibwe remusoro rakaiswa
Human-in-the-loop workflow
Design and test an AI-assisted workflow for a real recurring task.
Uchapupu hwekutarisa
- Before-and-after process
- Prompt or configuration
- Verification checklist
- Privacy and failure safeguards