AI Evaluations for Everyone - How Non-Engineers Can Build Better AI Systems with Humane Intelligence
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size263.5 MB
- Uploaded Byfreecoursewb
- Downloads50
- Last checkedJul. 10th '26
- Date uploadedJul. 09th '26
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AI Evaluations for Everyone: How Non-Engineers Can Build Better AI Systems with Humane Intelligence
https://WebToolTip.com
Released 6/2026
With Theodora Skeadas, Annie Brown, Mala Kumar, and Humane Intelligence
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 31m | Size: 263.8 MB
Learn how to evaluate AI systems, align systems with organizational goals, leveraging domain-specific expertise, identify biases, and ultimately make systems more effective and ethical.
Course details
Non-engineers can build better AI systems through humane intelligence. In this course, get introduced to practical domain-driven methods for evaluating AI systems against organizational missions, values, and real-world needs. Learn how to conduct human-in-the-loop assessments that test AI systems in meaningful contexts like public health and education. Discover how to identify potential misalignments and biases in AI outputs early in the development cycle. Observe lively discussions and review real-world exercises designed to bring abstract AI concepts into tangible evaluations. Whether you work on mission-driven teams, lead projects, or are part of policy operations, this course empowers you to make informed decisions about AI adoption. Gain skills in designing taxonomies and ontologies, running AI evaluations, and mitigating risks. Audience: Professionals responsible for AI adoption decisions Mission‑driven teams Organizations deploying AI for social impact or public interest Product managers Program leads Policy teams Content or operations professionals
Skills covered
AI Literacy, Generative AI, Artificial Intelligence (AI), AI Evaluation
Files:
[ WebToolTip.com ] AI Evaluations for Everyone - How Non-Engineers Can Build Better AI Systems with Humane Intelligence- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 01. Introduction
- 01. You can build better AI systems.mp4 (6.2 MB)
- 01. Why AI evals are important.mp4 (13.3 MB)
- 02. Red teaming and other evals in practice.mp4 (15.4 MB)
- 03. An AI red teaming workshop end-to-end.mp4 (7.0 MB)
- 04. Introduction to the mini project (pizza shop red teaming exercise).mp4 (5.7 MB)
- 01. Mapping problem spaces Taxonomical vs. ontologicalknowledge graph approaches.mp4 (6.2 MB)
- 02. Mini project Select and justify your evaluation strategy.mp4 (7.2 MB)
- 01. The evaluation spectrum From fully automated to fully human.mp4 (14.2 MB)
- 02. Taxonomies and ontologies in practice.mp4 (13.7 MB)
- 03. Mini project Setting up your taxonomy.mp4 (10.0 MB)
- 01. Bias in data and models.mp4 (18.8 MB)
- 02. Factuality and hallucinations.mp4 (9.5 MB)
- 03. Misdirection and over-reliance.mp4 (8.5 MB)
- 04. Security and adversarial risks.mp4 (7.2 MB)
- 05. Mini project Identify priority risks for fake pizza restaurant reviews.mp4 (13.7 MB)
- 01. Prompt selection and scenario design (governance).mp4 (12.9 MB)
- 02. Red teaming best practices.mp4 (10.8 MB)
- 03. Expert review and annotation in red teaming.mp4 (20.0 MB)
- 04. Mini project Draft your red teaming plan.mp4 (7.9 MB)
- 01. Making sense of red teaming data.mp4 (12.5 MB)
- 02. Now what Working with red team results.mp4 (6.6 MB)
- 03. Mitigation strategies and guardrails.mp4 (13.5 MB)
- 04. Mini project Select the best AI model and finalize your evaluation.mp4 (18.7 MB)
- 05. Additional resources and next steps.mp4 (4.1 MB)
- Bonus Resources.txt (0.1 KB)
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