FAST-07

Industry-Specific AI Applications for Massachusetts Sectors

12 hours · 4 live sessions × 3h · Wadood Chaudhary
Resources · Labs, projects and reading · Lesson 26 of 29

Reading list

TEXT · 6 MIN

FAST-07 Reading List: Industry-Specific AI Applications for Massachusetts Sectors

Provider: 7formations | Course: FAST-07 | Instructor: Wadood Chaudhary | Links verified by fetch or search as of Oct 2026

Readings mix three kinds of source: evidence about where AI is actually used and paying off, the rules that limit AI use in each sector (federal and Massachusetts), and practical documentation standards (plain language, safety programs). Read the general items plus the ones for your sector track. This list is training material, not legal advice; confirm rules with your compliance lead.

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: AI in your industry, honestly

Required

  • The state of AI in 2026: On the road to ROI
    Publisher: McKinsey & Company (QuantumBlack) | Date: August 25, 2026 | Reading time: about 15 min
    URL: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
    Why read: McKinsey's August 2026 survey. Read the key takeaways: individual productivity gains are common, but only a minority report enterprise financial impact. Good evidence for sorting 'mature' from 'hype.'

  • Artificial Intelligence (Insurance Topics)
    Publisher: National Association of Insurance Commissioners (NAIC) | Date: Last updated April 3, 2026 | Reading time: about 10 min
    URL: https://content.naic.org/insurance-topics/artificial-intelligence
    Why read: Insurance track (and useful for everyone): how insurers report using AI by line of business, from NAIC surveys, and where regulators are heading in 2026.

  • 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: 201 CMR 17.00. Read the definition of personal information (17.02). It applies in every sector.

Optional

  • The 2025 AI Index Report
    Publisher: Stanford Institute for Human-Centered AI (HAI) | Date: April 2025 | Reading time: about 20 min
    URL: https://hai.stanford.edu/ai-index/2025-ai-index-report
    Why read: Stanford HAI's AI Index. Skim the chapter on the economy for adoption data by industry.

  • Summary of the HIPAA Privacy Rule
    Publisher: U.S. Department of Health and Human Services, Office for Civil Rights | Date: Content last reviewed March 14, 2025 | Reading time: about 20 min
    URL: https://www.hhs.gov/hipaa/for-professionals/privacy/laws-regulations/index.html
    Why read: Healthcare and life-sciences track: the HHS summary of the HIPAA Privacy Rule. Read 'What Information is Protected' and 'Business Associates.'


Session 2: Core sector tasks

Required

  • 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: Plain-language standards for patient and customer materials. Use them as the measuring stick for handouts, coverage explanations, and notices.

  • Recommended Practices for Safety and Health Programs (Safety Management)
    Publisher: Occupational Safety and Health Administration (OSHA) | Date: Living page | Reading time: about 10 min
    URL: https://www.osha.gov/safety-management
    Why read: Manufacturing, construction, and logistics tracks: OSHA's recommended practices for safety programs. A toolbox talk or work instruction should fit your program, not replace it.

Optional

  • AHRQ Health Literacy Universal Precautions Toolkit
    Publisher: Agency for Healthcare Research and Quality | Date: Living page | Reading time: about 20 min
    URL: https://www.ahrq.gov/health-literacy/improve/precautions/index.html
    Why read: Healthcare track: AHRQ's health literacy toolkit. The 'teach-back' and written-materials tools apply to any patient handout an AI drafts.

  • Choosing effective patient education materials
    Publisher: MedlinePlus (U.S. National Library of Medicine) | Date: Living page | Reading time: about 8 min
    URL: https://medlineplus.gov/ency/patientinstructions/000455.htm
    Why read: Healthcare track: what makes patient education material effective.

  • Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile, NIST AI 600-1
    Publisher: NIST | Date: July 2024 | Reading time: about 25 min
    URL: https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf
    Why read: NIST's Generative AI Profile. Read the list of GAI risks (confabulation, information integrity) for the failure modes you see in sector labs.


Session 3: Rules and software

Required

Optional

  • General Laws Chapter 93H: Security Breaches
    Publisher: The 194th General Court of the Commonwealth of Massachusetts | Date: Current statute text | Reading time: about 10 min
    URL: https://malegislature.gov/Laws/GeneralLaws/PartI/TitleXV/Chapter93H
    Why read: All tracks: the Massachusetts security-breach statute that defines personal information and notice duties.

  • 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: Healthcare track: the two HIPAA de-identification methods. Explains why 'removing the name' is not de-identification.

  • Food Allergies (major food allergens and labeling)
    Publisher: U.S. Food and Drug Administration | Date: Living page (updated 2026) | Reading time: about 10 min
    URL: https://www.fda.gov/food/nutrition-food-labeling-and-critical-foods/food-allergies
    Why read: Hospitality and food track: the nine major food allergens and labeling basics. Allergen statements are checked by the kitchen lead, never trusted from a model.

  • Powered Industrial Trucks (Forklifts): Overview
    Publisher: Occupational Safety and Health Administration (OSHA) | Date: Living page | Reading time: about 8 min
    URL: https://www.osha.gov/powered-industrial-trucks
    Why read: Logistics track: forklift (powered industrial truck) hazards, useful when checking an AI-drafted dock-safety SOP.


Session 4: Your use case

Required

  • 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: The 'jagged frontier' study: AI helps a lot on some tasks and hurts on others. Use it to pick a task your brief can measure honestly.

Optional

  • Generative AI at Work (Brynjolfsson, Li, and Raymond), NBER Working Paper 31161
    Publisher: National Bureau of Economic Research | Date: April 2023 (revised) | Reading time: about 20 min
    URL: https://www.nber.org/papers/w31161
    Why read: A field study of AI assistance in customer support, with measured productivity effects. A model for how to state a measurable benefit.

  • 2025: The Year the Frontier Firm Is Born (Work Trend Index)
    Publisher: Microsoft WorkLab | Date: April 2025 | Reading time: about 15 min
    URL: https://www.microsoft.com/en-us/worklab/work-trend-index/2025-the-year-the-frontier-firm-is-born
    Why read: Microsoft's 2025 Work Trend Index. Context for how managers are thinking about AI and capacity.


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" (returned 404 during verification)
  • FTC press release announcing "Operation AI Comply" (September 2024) (returned 404 during verification)
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