AI Training 2026
FAST-01

Applied AI Literacy at Work

6 hours · 3 live sessions × 2h · Wadood Chaudhary
Resources · Labs, projects and reading · Lesson 20 of 23

Reading list

TEXT · 5 MIN

FAST-01 Reading List: Applied AI Literacy at Work

Provider: 7formations | Course: FAST-01 | Instructor: Wadood Chaudhary | Links verified by fetch or search as of Oct 2026

Readings for frontline and office staff who are new to AI at work. Every source is free to read. Government and standards sources (DOL, NIST, Massachusetts) set the rules; vendor help pages show how the approved tools handle data; university and research sources explain why AI gets things wrong.

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: What AI is doing when it answers you

Required

  • 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 framework this course builds on. Skim the five content areas in Attachment I and note which ones you already do at work.

  • Why language models hallucinate
    Publisher: OpenAI | Date: September 5, 2025 | Reading time: about 12 min
    URL: https://openai.com/index/why-language-models-hallucinate/
    Why read: A short, plain explanation from a model maker of why chat tools state false things confidently. Supports the 'fluent is not correct' idea in Lab 1.

  • When AI Gets It Wrong: Addressing AI Hallucinations and Bias
    Publisher: MIT Sloan Teaching & Learning Technologies | Date: Living page | Reading time: about 10 min
    URL: https://mitsloanedtech.mit.edu/ai/basics/addressing-ai-hallucinations-and-bias/
    Why read: A university guide to hallucinations and bias with practical checks. Good companion to the four-step check you'll learn in session 2.

Optional

Session 2: Checking the work and protecting the data

Required

  • 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: The Massachusetts data-security regulation. Read 17.02 (the definition of personal information) and 17.03(2)(b)(1) (employee training).

  • Attorney General Advisory on the Application of the Commonwealth's Consumer Protection, Civil Rights, and Data Privacy Laws to Artificial Intelligence
    Publisher: Massachusetts Attorney General's Office | Date: April 16, 2024 | Reading time: about 15 min
    URL: https://www.mass.gov/doc/ago-ai-advisory-41624/download
    Why read: The Attorney General's 2024 advisory: consumer-protection, anti-discrimination, and data-security laws all apply to AI. Read the bulleted list of unfair or deceptive practices.

  • Data, Privacy, and Security for Microsoft Copilot
    Publisher: Microsoft Learn | Date: Living page | Reading time: about 10 min
    URL: https://learn.microsoft.com/en-us/microsoft-365/copilot/microsoft-365-copilot-privacy
    Why read: How Microsoft's work Copilot handles prompts and data (read the overview and the 'how Copilot uses your data' sections). If your employer uses another tool, read the matching page below instead.

Optional

Session 3: Using it on your job tomorrow

Required

Optional

  • Effective Prompts for AI: The Essentials
    Publisher: MIT Sloan Teaching & Learning Technologies | Date: Living page | Reading time: about 10 min
    URL: https://mitsloanedtech.mit.edu/ai/basics/effective-prompts/
    Why read: A university one-pager on prompt essentials, useful for teach-back.

  • Prompt engineering overview
    Publisher: Anthropic (Claude Docs) | Date: Living page | Reading time: about 15 min
    URL: https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/overview
    Why read: Anthropic's prompt engineering overview for Claude. Written for builders, but the 'be clear and direct' advice applies to everyone.

  • 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: Field experiment with consultants: AI helped on some tasks and hurt on others. Read the abstract and the 'jagged frontier' idea; it is the research basis for rating tasks one by one.

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):

  • FTC business blog post "Keep your AI claims in check" (404)
  • Mass.gov small-business written information security program (WISP) guide (404)
  • EOTSS generative AI policy page (404 at the previously cited URL)
  • Earlier URL for the AG AI advisory (404; replaced with the current mass.gov download URL above)
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