entityType = "role"
schemaVersion = "role.v1"
slug = "role-53-7062-04"
socCode = "53-7062.04"
title = "Recycling and Reclamation Workers"
summary = "Prepare and sort materials or products for recycling. Identify and remove hazardous substances. Dismantle components of products such as appliances."
aliases = ["Non-Ferrous Material Handler", "Sort Line Worker", "Sorter", "Transfer Station Operator", "Bobcat Driver", "Box Sorter", "Convenience Recycle Center Technician (Convenience Recycle Center Tech)", "Deconstruction and Decontamination Waste Operations Specialist (D and D Waste Operations Specialist)", "Auto Dismantler", "Computer Recycling Worker", "Household Hazardous Waste Recycling Worker", "Materials Sorter"]
emergingTasks = []
studyPrograms = []

[preparation]
jobZone = "2"
jobZoneName = "Job Zone 1-2: Very Little to Some Preparation Needed"
education = "Usually requires a high school diploma or GED, though some occupations may not."
experience = "Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training."
svpRange = "(Below 6.0)"

[[preparation.educationDistribution]]
label = "High School Diploma"
percentage = 74.12

[[preparation.educationDistribution]]
label = "Associate's Degree (or other 2-year degree)"
percentage = 14.55

[[preparation.educationDistribution]]
label = "Doctoral Degree"
percentage = 8.01

[[preparation.educationDistribution]]
label = "Less than a High School Diploma"
percentage = 1.87

[[preparation.educationDistribution]]
label = "Post-Secondary Certificate"
percentage = 1.45

[educationLevel]
category = "No formal educational credential"
slug = "no-formal-educational-credential"

[market]
medianWage = 38940
meanWage = 41420
pct10Wage = 30810
pct25Wage = 35410
pct75Wage = 46370
pct90Wage = 53180
employment = 2982530
areaTitle = "U.S."

[industries]
count = 53

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 997400
medianWage = 43190
lq = 6.98

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 535240
medianWage = 35780
lq = 3.06

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 424240
medianWage = 35540
lq = 8.27

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 408770
medianWage = 39990
lq = 3.5

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 406630
medianWage = 41260
lq = 1.65

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 332400
medianWage = 36150
lq = 1.1

[[industries.top]]
naics = "23"
slug = "23"
title = "Construction"
level = "Sector"
employment = 47590
medianWage = 43760
lq = 0.3

[[industries.top]]
naics = "53"
slug = "53"
title = "Real Estate and Rental and Leasing"
level = "Sector"
employment = 41250
medianWage = 39180
lq = 0.9

[[industries.top]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 40250
medianWage = 42330
lq = 0.19

[[industries.top]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 32340
medianWage = 44310
lq = 0.63

[[industries.top]]
naics = "62"
slug = "62"
title = "Health Care and Social Assistance"
level = "Sector"
employment = 22140
medianWage = 35260
lq = 0.05

[[industries.top]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 21640
medianWage = 37560
lq = 0.25

[[industries.concentrated]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 424240
lq = 8.27

[[industries.concentrated]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 997400
lq = 6.98

[[industries.concentrated]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 408770
lq = 3.5

[[industries.concentrated]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 535240
lq = 3.06

[[industries.concentrated]]
naics = "711110"
slug = "711110"
title = "Theater Companies and Dinner Theaters"
level = "National industry"
employment = 3120
lq = 2.23

[[industries.concentrated]]
naics = "423820"
slug = "423820"
title = "Farm and Garden Machinery and Equipment Merchant Wholesalers"
level = "National industry"
employment = 3860
lq = 1.75

[[industries.concentrated]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 406630
lq = 1.65

[[industries.concentrated]]
naics = "11"
slug = "11"
title = "Agriculture, Forestry, Fishing and Hunting"
level = "Sector"
employment = 10360
lq = 1.27

[aiOutlook]
teleworkable = false
usageTasks = []

[aiOutlook.index]
value = 7
percentile = 4
band = "Low"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 3
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 7
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 12
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.85
percentile = 71
band = "High"
note = "A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking."

[aiOutlook.eloundou]
alpha = 0.043478260869565216
beta = 0.043478260869565216
gamma = 0.043478260869565216

[aiOutlook.bls]
growthPercent = 1.5
growthPercentile = 36
direction = "About average"
annualOpeningsThousands = 384.3
annualOpeningsPercentile = 99
employment2024Thousands = 2988.9
employment2034Thousands = 3033.1

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = -1.709183
percentile = 3
band = "Low"
note = "How much this job's abilities overlap with what AI systems can do, across many AI capabilities. A relative research score, not a forecast of job loss."

[[aiOutlook.exposure]]
source = "eloundou_gamma"
label = "LLM task exposure, γ (OpenAI / Eloundou)"
value = 0.043478260869565216
percentile = 7
band = "Low"
note = "Share of this job's tasks where a large language model plus simple tools could cut the time to do them by at least half. γ is capped at 1.0 and many jobs reach that ceiling, so treat a top score as 'in the top group', not a precise rank."

[[aiOutlook.exposure]]
source = "microsoft_applicability"
label = "AI assistant applicability (Microsoft)"
value = 0.05387316572670256
percentile = 12
band = "Low"
note = "How applicable today's AI assistants are to this job's activities, measured from real Microsoft Copilot conversations. Applicability is not the same as replacement."

[[aiOutlook.sources]]
source = "bls_employment_projections"
version = "2024-2034"

[[aiOutlook.sources]]
source = "dingel_neiman"
version = "dingel-neiman-workathome"

[[aiOutlook.sources]]
source = "felten_aioe"
version = "felten-raj-seamans-aioe"

[[aiOutlook.sources]]
source = "frey_osborne"
version = "frey-osborne-automation"

[[aiOutlook.sources]]
source = "microsoft_working_with_ai"
version = "working-with-ai"

[[aiOutlook.sources]]
source = "openai_gpts_are_gpts"
version = "gpts-are-gpts"

[counts]
tasks = 14
skills = 33
capabilities = 120
tools = 4
relatedRoles = 20

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "ca8c792b10b3cc27"

[[tasks]]
text = "Collect and sort recyclable construction materials, such as concrete, drywall, plastics, or wood, into containers."
type = "Supplemental"
iwa = "4.A.2.a.2.b"

[[tasks]]
text = "Sort materials, such as metals, glass, wood, paper or plastics, into appropriate containers for recycling."
type = "Core"
iwa = "4.A.2.a.2.b"

[[tasks]]
text = "Extract chemicals from discarded appliances, such as air conditioners or refrigerators, using specialized machinery, such as refrigerant recovery equipment."
type = "Supplemental"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Deposit recoverable materials into chutes or place materials on conveyor belts."
type = "Supplemental"
iwa = "4.A.3.a.1.f"

[[tasks]]
text = "Clean recycling yard by sweeping, raking, picking up broken glass and loose paper debris, or moving barrels and bins."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Operate balers to compress recyclable materials into bundles or bales."
type = "Supplemental"
iwa = "4.A.3.a.3.f"

[[tasks]]
text = "Clean materials, such as metals, according to recycling requirements."
type = "Supplemental"
iwa = "4.A.3.a.1.h"

[[tasks]]
text = "Operate forklifts, pallet jacks, power lifts, or front-end loaders to load bales, bundles, or other heavy items onto trucks for shipping to smelters or other recycled materials processing facilities."
type = "Core"
iwa = "4.A.3.a.3.h"

[[tasks]]
text = "Sort metals to separate high-grade metals, such as copper, brass, and aluminum, for recycling."
type = "Core"
iwa = "4.A.2.a.2.b"

[[tasks]]
text = "Record logs of recycled materials or waste chemicals removed from products."
type = "Supplemental"
iwa = "4.A.3.b.6.h"

[[tasks]]
text = "Operate processing equipment, such as fiber-sorters and grinders, to sort, crush, or grind recyclable materials."
type = "Supplemental"
iwa = "4.A.3.a.3.f"

[[tasks]]
text = "Clean, inspect, or lubricate recyclable collection equipment or perform routine maintenance or minor repairs on recycling equipment, such as star gears, finger sorters, destoners, belts, and grinders."
type = "Core"
iwa = "4.A.3.a.1.c"

[[activities]]
name = "Decontaminate equipment or sites to remove hazardous or toxic substances."
iwa = "4.A.3.a.1.c"

[[activities]]
name = "Sort recyclable materials."
iwa = "4.A.2.a.2.b"

[[activities]]
name = "Load materials into production equipment."
iwa = "4.A.3.a.1.f"

[[activities]]
name = "Operate recycling equipment."
iwa = "4.A.3.a.3.f"

[[activities]]
name = "Operate forklifts or other loaders."
iwa = "4.A.3.a.3.h"

[[activities]]
name = "Operate grinding equipment."
iwa = "4.A.3.a.3.l"

[[activities]]
name = "Record operational or production data."
iwa = "4.A.3.b.6.h"

[[activities]]
name = "Clean materials to prepare them for production."
iwa = "4.A.3.a.1.h"

[[activities]]
name = "Clean work areas."
iwa = "4.A.3.a.1.c"

[[activities]]
name = "Clean production equipment."
iwa = "4.A.3.a.1.c"

[[activities]]
name = "Repair production equipment or tools."
iwa = "4.A.3.b.4.c"

[[activities]]
name = "Lubricate production equipment."
iwa = "4.A.3.b.5.a"

[[capabilities]]
name = "Production and Processing"
family = "knowledge"
value = 3.88

[[capabilities]]
name = "Manual Dexterity"
family = "ability"
value = 3.75

[[capabilities]]
name = "Control Precision"
family = "ability"
value = 3.62

[[capabilities]]
name = "Mechanical"
family = "knowledge"
value = 3.51

[[capabilities]]
name = "Arm-Hand Steadiness"
family = "ability"
value = 3.5

[[capabilities]]
name = "Multilimb Coordination"
family = "ability"
value = 3.5

[[capabilities]]
name = "Near Vision"
family = "ability"
value = 3.5

[[capabilities]]
name = "Administration and Management"
family = "knowledge"
value = 3.49

[[capabilities]]
name = "Public Safety and Security"
family = "knowledge"
value = 3.48

[[capabilities]]
name = "Education and Training"
family = "knowledge"
value = 3.35

[[capabilities]]
name = "Operation and Control"
family = "transferable_skill"
value = 3.25

[[capabilities]]
name = "Category Flexibility"
family = "ability"
value = 3.25

[[capabilities]]
name = "Finger Dexterity"
family = "ability"
value = 3.25

[[capabilities]]
name = "Trunk Strength"
family = "ability"
value = 3.25

[[capabilities]]
name = "Customer and Personal Service"
family = "knowledge"
value = 3.21

[[capabilities]]
name = "Active Listening"
family = "essential_skill"
value = 3.12

[[capabilities]]
name = "Monitoring"
family = "essential_skill"
value = 3.12

[[capabilities]]
name = "Operations Monitoring"
family = "transferable_skill"
value = 3.12

[[capabilities]]
name = "Oral Comprehension"
family = "ability"
value = 3.12

[[capabilities]]
name = "Oral Expression"
family = "ability"
value = 3.12

[[capabilities]]
name = "Information Ordering"
family = "ability"
value = 3.12

[[capabilities]]
name = "Flexibility of Closure"
family = "ability"
value = 3.12

[[capabilities]]
name = "Perceptual Speed"
family = "ability"
value = 3.12

[[capabilities]]
name = "Selective Attention"
family = "ability"
value = 3.12

[[capabilities]]
name = "Rate Control"
family = "ability"
value = 3.12

[[capabilities]]
name = "Reaction Time"
family = "ability"
value = 3.12

[[capabilities]]
name = "English Language"
family = "knowledge"
value = 3.1

[[capabilities]]
name = "Personnel and Human Resources"
family = "knowledge"
value = 3.02

[[capabilities]]
name = "Speed of Limb Movement"
family = "ability"
value = 3

[[capabilities]]
name = "Far Vision"
family = "ability"
value = 3

[[capabilities]]
name = "Depth Perception"
family = "ability"
value = 3

[[capabilities]]
name = "Sales and Marketing"
family = "knowledge"
value = 2.95

[[capabilities]]
name = "Problem Sensitivity"
family = "ability"
value = 2.88

[[capabilities]]
name = "Response Orientation"
family = "ability"
value = 2.88

[[capabilities]]
name = "Static Strength"
family = "ability"
value = 2.88

[[capabilities]]
name = "Visual Color Discrimination"
family = "ability"
value = 2.88

[[capabilities]]
name = "Speech Recognition"
family = "ability"
value = 2.88

[[capabilities]]
name = "Speaking"
family = "essential_skill"
value = 2.75

[[capabilities]]
name = "Critical Thinking"
family = "essential_skill"
value = 2.75

[[capabilities]]
name = "Quality Control Analysis"
family = "transferable_skill"
value = 2.75

[[skills]]
name = "Finger Dexterity"
type = "Common Skill"

[[skills]]
name = "Information Ordering"
type = "Specialized Skill"

[[skills]]
name = "Active Listening"
type = "Common Skill"

[[skills]]
name = "English Language"
type = "Common Skill"

[[skills]]
name = "Microsoft Word"
type = "Common Skill"

[[skills]]
name = "Microsoft Excel"
type = "Common Skill"

[[skills]]
name = "Depth Perception"
type = "Common Skill"

[[skills]]
name = "Speech Recognition"
type = "Specialized Skill"

[[skills]]
name = "Critical Thinking"
type = "Common Skill"

[[skills]]
name = "Time Management"
type = "Common Skill"

[[skills]]
name = "Social Perceptiveness"
type = "Common Skill"

[[skills]]
name = "Reading Comprehension"
type = "Common Skill"

[[skills]]
name = "Inductive Reasoning"
type = "Common Skill"

[[skills]]
name = "Deductive Reasoning"
type = "Common Skill"

[[skills]]
name = "Mathematics"
type = "Common Skill"

[[skills]]
name = "Active Learning"
type = "Common Skill"

[[skills]]
name = "Psychology"
type = "Specialized Skill"

[[skills]]
name = "Writing"
type = "Common Skill"

[[skills]]
name = "Visualization"
type = "Specialized Skill"

[[skills]]
name = "Equipment Maintenance"
type = "Specialized Skill"

[[skills]]
name = "Complex Problem Solving"
type = "Common Skill"

[[skills]]
name = "Equipment Selection"
type = "Specialized Skill"

[[skills]]
name = "Physics"
type = "Specialized Skill"

[[skills]]
name = "Instructing"
type = "Specialized Skill"

[[skills]]
name = "Learning Strategies"
type = "Specialized Skill"

[[skills]]
name = "Telecommunications"
type = "Specialized Skill"

[[skills]]
name = "Systems Analysis"
type = "Specialized Skill"

[[skills]]
name = "Negotiation"
type = "Common Skill"

[[skills]]
name = "Chemistry"
type = "Specialized Skill"

[[skills]]
name = "Geography"
type = "Specialized Skill"

[[skills]]
name = "Biology"
type = "Specialized Skill"

[[skills]]
name = "Foreign Language"
type = "Common Skill"

[[skills]]
name = "Installation"
type = "Specialized Skill"

[[tools]]
example = "Microsoft Excel"
category = "Spreadsheet software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft Office software"
category = "Office suite software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft Word"
category = "Word processing software"
hot = true
inDemand = false

[[tools]]
example = "Work scheduling software"
category = "Calendar and scheduling software"
hot = false
inDemand = false

[[workContext]]
name = "Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets"
value = 4.85

[[workContext]]
name = "Exposed to Contaminants"
value = 4.43

[[workContext]]
name = "Spend Time Standing"
value = 4.33

[[workContext]]
name = "Outdoors, Exposed to All Weather Conditions"
value = 4.32

[[workContext]]
name = "Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls"
value = 4.24

[[workContext]]
name = "Contact With Others"
value = 4.02

[[workContext]]
name = "Spend Time Making Repetitive Motions"
value = 4.02

[[workContext]]
name = "Face-to-Face Discussions with Individuals and Within Teams"
value = 3.94

[[workContext]]
name = "Exposed to Very Hot or Cold Temperatures"
value = 3.81

[[workContext]]
name = "Outdoors, Under Cover"
value = 3.72

[[workContext]]
name = "Work With or Contribute to a Work Group or Team"
value = 3.67

[[workContext]]
name = "In an Open Vehicle or Operating Equipment"
value = 3.64

[[workContext]]
name = "Health and Safety of Other Workers"
value = 3.61

[[workContext]]
name = "Determine Tasks, Priorities and Goals"
value = 3.6

[[workContext]]
name = "Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable"
value = 3.58

[[workContext]]
name = "Spend Time Walking or Running"
value = 3.56

[[workContext]]
name = "Spend Time Bending or Twisting Your Body"
value = 3.56

[[workContext]]
name = "Work Outcomes and Results of Other Workers"
value = 3.54

[[workContext]]
name = "Freedom to Make Decisions"
value = 3.51

[[workContext]]
name = "Time Pressure"
value = 3.5

[[workContext]]
name = "Indoors, Not Environmentally Controlled"
value = 3.4

[[workContext]]
name = "Coordinate or Lead Others in Accomplishing Work Activities"
value = 3.33

[[workContext]]
name = "Physical Proximity"
value = 3.32

[[workContext]]
name = "Impact of Decisions on Co-workers or Company Results"
value = 3.28

[[workContext]]
name = "In an Enclosed Vehicle or Operate Enclosed Equipment"
value = 3.19

[[workContext]]
name = "Frequency of Decision Making"
value = 3.17

[[workContext]]
name = "Exposed to Extremely Bright or Inadequate Lighting Conditions"
value = 3.14

[[workContext]]
name = "Importance of Being Exact or Accurate"
value = 3.12

[[workContext]]
name = "Pace Determined by Speed of Equipment"
value = 3.12

[[workContext]]
name = "Exposed to Hazardous Equipment"
value = 3.05

[[workContext]]
name = "Telephone Conversations"
value = 2.97

[[workContext]]
name = "Consequence of Error"
value = 2.97

[[workContext]]
name = "Level of Competition"
value = 2.77

[[workContext]]
name = "Exposed to Minor Burns, Cuts, Bites, or Stings"
value = 2.72

[[workContext]]
name = "Importance of Repeating Same Tasks"
value = 2.63

[[workContext]]
name = "Exposed to Cramped Work Space, Awkward Positions"
value = 2.49

[[workContext]]
name = "Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection"
value = 2.43

[[workContext]]
name = "Spend Time Kneeling, Crouching, Stooping, or Crawling"
value = 2.35

[[workContext]]
name = "Deal With External Customers or the Public in General"
value = 2.33

[[workContext]]
name = "Dealing With Unpleasant, Angry, or Discourteous People"
value = 2.25

[[personFit]]
name = "Realistic"
family = "career_interest_type"
value = 6.28

[[personFit]]
name = "Conventional"
family = "career_interest_type"
value = 4.39

[[personFit]]
name = "Investigative"
family = "career_interest_type"
value = 2.04

[[personFit]]
name = "Enterprising"
family = "career_interest_type"
value = 1.59

[[personFit]]
name = "Social"
family = "career_interest_type"
value = 1.28

[[personFit]]
name = "Artistic"
family = "career_interest_type"
value = 1

[[relatedRoles]]
socCode = "53-1042.01"
slug = "role-53-1042-01"
title = "Recycling Coordinators"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "47-4041.00"
slug = "role-47-4041-00"
title = "Hazardous Materials Removal Workers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "53-7081.00"
slug = "role-53-7081-00"
title = "Refuse and Recyclable Material Collectors"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "51-9111.00"
slug = "role-51-9111-00"
title = "Packaging and Filling Machine Operators and Tenders"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "53-7062.00"
slug = "role-53-7062-00"
title = "Laborers and Freight, Stock, and Material Movers, Hand"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "53-7061.00"
slug = "role-53-7061-00"
title = "Cleaners of Vehicles and Equipment"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "53-7063.00"
slug = "role-53-7063-00"
title = "Machine Feeders and Offbearers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "47-5081.00"
slug = "role-47-5081-00"
title = "Helpers--Extraction Workers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-9012.00"
slug = "role-51-9012-00"
title = "Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-9198.00"
slug = "role-51-9198-00"
title = "Helpers--Production Workers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-8031.00"
slug = "role-51-8031-00"
title = "Water and Wastewater Treatment Plant and System Operators"
tier = "Supplemental"

[[relatedRoles]]
socCode = "51-6011.00"
slug = "role-51-6011-00"
title = "Laundry and Dry-Cleaning Workers"
tier = "Supplemental"

[[careerClusters]]
cluster = "Supply Chain & Transportation"
slug = "supply-chain-transportation"

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.85
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = -1.709183
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = -1.791936
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -1.49843
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
