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أمين أبوزيد
STF-021

حوكمة الذكاء الاصطناعي والإنتاجية الهندسية

  • 7 درس
  • 4 ساعة تدريب (تقدير)
في هذه الصفحة 9 موضوعات

نص الدروس والتمارين باللغة الإنجليزية، بينما تبقى واجهة الموقع وعناوين الدروس بالعربية.

نظرة عامة

الموضوعات

  • الأدوات المعتمدة
  • سياسة الاستخدام
  • معايير التقييم
  • ضوابط الجودة والأمان
  • قياس الإنتاجية بصدق

تعلّم أولًا

4 ساعة تدريب (تقدير)

مخرجات التعلم

  1. Define organization-wide AI governance: approved tools, usage policy, data rules, and decision rights.
  2. Set evaluation and quality standards for AI features and AI-generated code that teams can meet without a central bottleneck.
  3. Build guardrails into the platform (gateway, scanning, review rules) instead of relying on policy documents.
  4. Measure the effect of AI on engineering productivity and quality honestly across ~20 teams.

الدروس

  1. 01لماذا يحتاج الذكاء الاصطناعي إلى حوكمة لا إلى منع
  2. 02الأدوات المعتمدة وقواعد البيانات وصلاحيات القرار
  3. 03معايير التقييم والجودة
  4. 04الضوابط كطرق ممهدة (Paved Roads)
  5. 05قياس أثر الذكاء الاصطناعي على الهندسة
  6. 06عرض عملي: تحويل سياسة للذكاء الاصطناعي إلى ضوابط في المنصة
  7. 07عرض عملي: تقرير إنتاجية الذكاء الاصطناعي على مستوى المؤسسة مع تحفظات صادقة

المختبر والتمارين

Lab

STF-021-LAB1 · AI governance for Platform 2.0

Outcomes: 1–4 · Time: ~3 h

  1. Draft the governance model: roles, decision rights, and review cadence.
  2. Write the approved-tool list criteria and data rules by data class (verify vendor terms before recording).
  3. Write the evaluation standard for AI features and the rules for AI-generated code.
  4. Design platform guardrails (gateway, scanning, review rules) and map each rule to an enforcement point.
  5. Write the measurement plan across about 20 teams with baselines and quality counter-metrics.

Acceptance: every rule has an enforcement point or an explicit owner; measurement plan has baselines and quality counter-metrics.

Exercises (case-based; six exercises)

IDOutcomeTask
STF-021-EX011A director proposes banning all AI tools. Write a one-page response comparing ban and governance with risks and benefits.
STF-021-EX021Define four data classes and which AI tool tiers each may use; name who approves new tools.
STF-021-EX032Write an evaluation standard for an AI-powered product search feature: evaluation set, threshold, monitoring, human review points.
STF-021-EX043Take five policy rules and assign each an enforcement point (gateway, pipeline, template) or an owner.
STF-021-EX053Review a governance proposal where a board reviews every prompt; redesign it so it scales.
STF-021-EX064Draft a measurement plan with baselines and counter-metrics; explain two confounders and how you handle them.
أظهر الحلول
  • EX01 Ban pushes use out of sight and loses benefits; governance gives approved tools, data rules, gateway logging, and measurement; accept residual risk with monitoring.
  • EX02 Classes: payment data (never), customer personal data (approved tools with redaction or none), source code (approved tools only), public material (free). Security and legal approve additions.
  • EX03 Evaluation set of real queries with judged answers; threshold on relevance and safety; monitor drift, cost, and complaints; human review for prompt changes; rollback to the previous version.
  • EX04 Examples: no secrets in prompts (gateway redaction and pipeline scan), approved tools only (gateway allow list), review of generated code (pull request template and required reviewer), data classes (owner: security).
  • EX05 Move to team-owned decisions within guardrails; audit samples through the gateway logs; escalate exceptions only.
  • EX06 Metrics: lead time, review time, defect rate, change failure rate, survey. Confounders: team size and work type; handle by comparing the same team before and after and matching comparison teams; report ranges.

Outcome coverage: all four outcomes appear in exercises and lab.

Workplace evidence: AI governance or guardrails you established across several teams.

الاختبار

Outcomes: O1 AI governance model · O2 evaluation and quality standards · O3 guardrails in the platform · O4 measuring AI's effect.

اختبار ذاتي لك: لا توجد درجات، ولا يُحفظ أو يُرسل أي شيء. اختر إجابة ثم تحقق منها، ويمكنك المحاولة مرة أخرى كما تشاء.

  1. 1Banning AI tools outright often:O1
  2. 2Data rules should:O1
  3. 3Who decides how a team uses an approved tool?O1
  4. 4AI-generated code in a pull request:O2
  5. 5An AI feature needs:O2
  6. 6An AI gateway helps by:O3
  7. 7A rule with no enforcement point or owner is:O3
  8. 8Governance that reviews every prompt in a central board:O3
  9. 9Before rollout you should capture:O4
  10. 10Which pairing is honest reporting?O4

الجزء العملي

Six case exercises STF-021-EX01 to EX06 plus the lab, reviewed as a governance proposal. Pass: at least five of six exercises correct, quiz at least 8/10, and a proposal in which every rule has an enforcement point or owner and the measurement plan has baselines and quality counter-metrics.

أخطاء شائعة

Banning tools and pushing usage underground; governance boards that review every prompt; productivity claims without baselines.

التقييم

Governance proposal review.

دليل من بيئة العمل

AI governance or guardrails you established across several teams.

الصلة بالمسار الوظيفي

Leading AI adoption (STF-022) and AI vendor evaluation (ARC-047).

اكتب للبحث في المستويات والمراحل والوحدات والدروس.