FAST-06

Occupation-Specific AI Role Labs

9 hours · 3 live sessions × 3h · Wadood Chaudhary
Resources · Labs, projects and reading · Lesson 20 of 23

Reading list

TEXT · 4 MIN

FAST-06 Reading List: Occupation-Specific AI Role Labs

Provider: 7formations | Course: FAST-06 | Instructor: Wadood Chaudhary | Links verified by fetch or search as of Oct 2026

Session readings apply to every track. Track readings follow in the session 2 block; read the ones for your occupation. Several role-specific sources from earlier drafts were dropped because their pages no longer exist (see Link verification). All listed sources are free.

How to use. Required readings take 20 to 45 minutes per session and are done before (or right after) the session they support. Optional readings go deeper. 'Living page' means the publisher updates it continuously; read the current version. Reading times are estimates for the parts that matter to this course, not the whole document.


Session 1: Your job's top ten tasks

Required

  • **O*NET OnLine**
    Publisher: U.S. Department of Labor, Employment and Training Administration (O*NET program) | Date: Living database | Reading time: about 15 min
    URL: https://www.onetonline.org/
    Why read: Look up your occupation's task list and compare it with your top ten; it often reminds you of tasks you forgot.

  • Training and Employment Notice 07-25: The U.S. Department of Labor's Artificial Intelligence Literacy Framework
    Publisher: U.S. Department of Labor, Employment and Training Administration | Date: February 13, 2026 | Reading time: about 15 min
    URL: https://www.dol.gov/agencies/eta/advisories/ten-07-25
    Why read: The U.S. Department of Labor's AI Literacy Framework (TEN 07-25): the workforce-system view of what AI literacy means on the job.

  • 201 CMR 17.00: Standards for the Protection of Personal Information of MA Residents
    Publisher: Mass.gov, Office of Consumer Affairs and Business Regulation | Date: Regulation page dated 10/19/2017 (in force since 2010) | Reading time: about 15 min
    URL: https://www.mass.gov/regulations/201-CMR-1700-standards-for-the-protection-of-personal-information-of-ma-residents
    Why read: Massachusetts 201 CMR 17.00: the definition of personal information behind every role's never-enter list.

Optional

  • Pay Transparency in Massachusetts (Attorney General guidance and FAQs)
    Publisher: Mass.gov, Office of the Attorney General | Date: Effective October 29, 2025; FAQs revised November 13, 2025 | Reading time: about 15 min
    URL: https://www.mass.gov/info-details/pay-transparency-in-massachusetts
    Why read: HR track: the Attorney General's guidance on pay ranges in job postings (employers with 25+ MA employees, since October 29, 2025).

  • Navigating the Jagged Technological Frontier (Dell'Acqua et al.), HBS Working Paper 24-013
    Publisher: Harvard Business School | Date: September 2023 | Reading time: about 20 min
    URL: https://www.hbs.edu/faculty/Pages/item.aspx?num=64700
    Why read: Why AI helps on some tasks and hurts on others, so rating each task matters.


Session 2: Guided task labs (track readings)

Required

  • Guidance Regarding Methods for De-identification of Protected Health Information in Accordance with the HIPAA Privacy Rule
    Publisher: U.S. Department of Health and Human Services, Office for Civil Rights | Date: Content last reviewed February 3, 2025 | Reading time: about 20 min
    URL: https://www.hhs.gov/hipaa/for-professionals/special-topics/de-identification/index.html
    Why read: Front office (and anyone near health data): why removing names isn't de-identification under HIPAA.

  • Plain Language Materials & Resources (Health Literacy)
    Publisher: Centers for Disease Control and Prevention | Date: July 21, 2025 | Reading time: about 10 min
    URL: https://www.cdc.gov/health-literacy/php/develop-materials/plain-language.html
    Why read: Front office and customer service: CDC's plain-language checklist for materials the public reads.

Optional


Session 3: Your role playbook

Required

Optional


Link verification

Links verified by fetch or search as of Oct 2026. Links that could not be confirmed were dropped and are not listed. The instructor re-checks links before each cohort.

Dropped during verification (not listed above):

  • PEAT "AI & Inclusive Hiring Framework" (404)
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