entityType = "role"
schemaVersion = "role.v1"
slug = "role-33-3051-04"
socCode = "33-3051.04"
title = "Customs and Border Protection Officers"
summary = "Investigate and inspect persons, common carriers, goods, and merchandise, arriving in or departing from the United States or between states to detect violations of immigration and customs laws and regulations."
aliases = ["Customs Inspector", "Customs Officer", "Special Agent", "US Customs and Border Protection Officer (US CBPO)", "Canine Enforcement Officer (K-9 Enforcement Officer)", "Import Specialist", "Agriculture Specialist", "Air Import Specialist", "Border Patrol Agent", "Customs Import Specialist", "Customs Opener", "Customs Packer"]
emergingTasks = []

[preparation]
jobZone = "3"
jobZoneName = "Job Zone Three: Medium Preparation Needed"
education = "Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree."
experience = "Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job."
svpRange = "(6.0 to < 7.0)"

[[preparation.educationDistribution]]
label = "High School Diploma"
percentage = 39.01

[[preparation.educationDistribution]]
label = "Bachelor's Degree"
percentage = 27.15

[[preparation.educationDistribution]]
label = "Some College Courses"
percentage = 14.2

[[preparation.educationDistribution]]
label = "Post-Secondary Certificate"
percentage = 10.12

[[preparation.educationDistribution]]
label = "Associate's Degree (or other 2-year degree)"
percentage = 7.33

[[preparation.educationDistribution]]
label = "Post-Baccalaureate Certificate"
percentage = 2.18

[educationLevel]
category = "High school diploma or equivalent"
slug = "high-school-diploma-or-equivalent"

[market]
medianWage = 76290
meanWage = 79320
pct10Wage = 47640
pct25Wage = 58980
pct75Wage = 97190
pct90Wage = 115280
employment = 666990
areaTitle = "U.S."

[industries]
count = 4

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 25630
medianWage = 64310
lq = 0.43

[[industries.top]]
naics = "62"
slug = "62"
title = "Health Care and Social Assistance"
level = "Sector"
employment = 2450
medianWage = 65410
lq = 0.02

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 450
medianWage = 81200
lq = 0.01

[[industries.top]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
medianWage = 86720

[[industries.concentrated]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 25630
lq = 0.43

[[industries.concentrated]]
naics = "62"
slug = "62"
title = "Health Care and Social Assistance"
level = "Sector"
employment = 2450
lq = 0.02

[[industries.concentrated]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 450
lq = 0.01

[aiOutlook]
teleworkable = false
usageRelease = "2026-01-15-v4-plus-2025-03-27-v2"

[aiOutlook.index]
value = 43
percentile = 41
band = "Moderate"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 30
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 51
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 47
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.098
percentile = 28
band = "Low"
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 = 0.2857142857142857
beta = 0.45238095238095233
gamma = 0.6190476190476191

[aiOutlook.bls]
growthPercent = 3.1
growthPercentile = 53
direction = "About average"
annualOpeningsThousands = 53.7
annualOpeningsPercentile = 90
employment2024Thousands = 698.8
employment2034Thousands = 720.8

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = -0.6681123
percentile = 30
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 = 0.6190476190476191
percentile = 51
band = "Moderate"
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 = 0.14340876064744668
percentile = 47
band = "Moderate"
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.usageTasks]]
task = "Examine immigration applications, visas, and passports and interview persons to determine eligibility for admission, residence, and travel in the U.S."
usagePercent = 0.03368815450537983
importance = 4.75

[[aiOutlook.usageTasks]]
task = "Interpret and explain laws and regulations to travelers, prospective immigrants, shippers, and manufacturers."
usagePercent = 0.002567694703153951
importance = 4.44

[[aiOutlook.usageTasks]]
task = "Inspect cargo, baggage, and personal articles entering or leaving U.S. for compliance with revenue laws and U.S. customs regulations."
usagePercent = 0.0015406168218923706
importance = 4.6

[[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 = 11
skills = 35
capabilities = 120
tools = 12
relatedRoles = 20

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "0b3a2243cf3ce5be"

[[tasks]]
text = "Examine immigration applications, visas, and passports and interview persons to determine eligibility for admission, residence, and travel in the U.S."
type = "Core"
iwa = "4.A.1.a.1.w"

[[tasks]]
text = "Detain persons found to be in violation of customs or immigration laws and arrange for legal action, such as deportation."
type = "Core"
iwa = "4.A.3.a.1.k"

[[tasks]]
text = "Inspect cargo, baggage, and personal articles entering or leaving U.S. for compliance with revenue laws and U.S. customs regulations."
type = "Core"
iwa = "4.A.1.b.2.j"

[[tasks]]
text = "Locate and seize contraband, undeclared merchandise, and vehicles, aircraft, or boats that contain such merchandise."
type = "Core"
iwa = "4.A.1.a.2.g"

[[tasks]]
text = "Interpret and explain laws and regulations to travelers, prospective immigrants, shippers, and manufacturers."
type = "Core"
iwa = "4.A.4.a.1.b"

[[tasks]]
text = "Institute civil and criminal prosecutions and cooperate with other law enforcement agencies in the investigation and prosecution of those in violation of immigration or customs laws."
type = "Core"
iwa = "4.A.1.a.1.c"

[[tasks]]
text = "Testify regarding decisions at immigration appeals or in federal court."
type = "Core"
iwa = "4.A.4.a.3.a"

[[tasks]]
text = "Record and report job-related activities, findings, transactions, violations, discrepancies, and decisions."
type = "Core"
iwa = "4.A.3.b.6.h"

[[tasks]]
text = "Determine duty and taxes to be paid on goods."
type = "Core"
iwa = "4.A.1.b.3.c"

[[tasks]]
text = "Collect samples of merchandise for examination, appraisal, or testing."
type = "Core"
iwa = "4.A.1.a.1.d"

[[tasks]]
text = "Investigate applications for duty refunds and petition for remission or mitigation of penalties when warranted."
type = "Supplemental"
iwa = "4.A.1.a.1.c"

[[activities]]
name = "Interview people to obtain information about actions or status of individuals."
iwa = "4.A.1.a.1.w"

[[activities]]
name = "Examine personal documentation to ensure that it is valid."
iwa = "4.A.2.a.2.e"

[[activities]]
name = "Detain suspects or witnesses."
iwa = "4.A.3.a.1.k"

[[activities]]
name = "Locate suspicious objects or vehicles."
iwa = "4.A.1.a.2.g"

[[activities]]
name = "Confiscate prohibited or dangerous items."
iwa = "4.A.3.a.1.k"

[[activities]]
name = "Inform others about laws or regulations."
iwa = "4.A.4.a.1.b"

[[activities]]
name = "Inspect cargo to identify potential hazards."
iwa = "4.A.1.b.2.j"

[[activities]]
name = "Maintain operational records."
iwa = "4.A.3.b.6.h"

[[activities]]
name = "Investigate illegal or suspicious activities."
iwa = "4.A.1.a.1.c"

[[activities]]
name = "Collaborate with law enforcement or security agencies to share information."
iwa = "4.A.4.b.1.c"

[[activities]]
name = "Testify at legal or legislative proceedings."
iwa = "4.A.4.a.3.a"

[[activities]]
name = "Calculate tax information."
iwa = "4.A.1.b.3.c"

[[activities]]
name = "Obtain property information."
iwa = "4.A.1.a.1.d"

[[activities]]
name = "Investigate legal issues."
iwa = "4.A.1.a.1.c"

[[capabilities]]
name = "Law and Government"
family = "knowledge"
value = 4.48

[[capabilities]]
name = "Public Safety and Security"
family = "knowledge"
value = 4.32

[[capabilities]]
name = "Active Listening"
family = "essential_skill"
value = 4

[[capabilities]]
name = "Speaking"
family = "essential_skill"
value = 4

[[capabilities]]
name = "Critical Thinking"
family = "essential_skill"
value = 4

[[capabilities]]
name = "Oral Comprehension"
family = "ability"
value = 4

[[capabilities]]
name = "Oral Expression"
family = "ability"
value = 4

[[capabilities]]
name = "Problem Sensitivity"
family = "ability"
value = 4

[[capabilities]]
name = "Inductive Reasoning"
family = "ability"
value = 4

[[capabilities]]
name = "Near Vision"
family = "ability"
value = 4

[[capabilities]]
name = "English Language"
family = "knowledge"
value = 3.91

[[capabilities]]
name = "Reading Comprehension"
family = "essential_skill"
value = 3.88

[[capabilities]]
name = "Social Perceptiveness"
family = "transferable_skill"
value = 3.88

[[capabilities]]
name = "Written Comprehension"
family = "ability"
value = 3.88

[[capabilities]]
name = "Deductive Reasoning"
family = "ability"
value = 3.88

[[capabilities]]
name = "Speech Clarity"
family = "ability"
value = 3.88

[[capabilities]]
name = "Speech Recognition"
family = "ability"
value = 3.75

[[capabilities]]
name = "Writing"
family = "essential_skill"
value = 3.62

[[capabilities]]
name = "Monitoring"
family = "essential_skill"
value = 3.62

[[capabilities]]
name = "Judgment and Decision Making"
family = "transferable_skill"
value = 3.62

[[capabilities]]
name = "Written Expression"
family = "ability"
value = 3.62

[[capabilities]]
name = "Customer and Personal Service"
family = "knowledge"
value = 3.57

[[capabilities]]
name = "Psychology"
family = "knowledge"
value = 3.42

[[capabilities]]
name = "Active Learning"
family = "essential_skill"
value = 3.38

[[capabilities]]
name = "Coordination"
family = "transferable_skill"
value = 3.38

[[capabilities]]
name = "Information Ordering"
family = "ability"
value = 3.38

[[capabilities]]
name = "Flexibility of Closure"
family = "ability"
value = 3.38

[[capabilities]]
name = "Perceptual Speed"
family = "ability"
value = 3.25

[[capabilities]]
name = "Selective Attention"
family = "ability"
value = 3.25

[[capabilities]]
name = "Far Vision"
family = "ability"
value = 3.25

[[capabilities]]
name = "Administrative"
family = "knowledge"
value = 3.21

[[capabilities]]
name = "Computers and Electronics"
family = "knowledge"
value = 3.2

[[capabilities]]
name = "Geography"
family = "knowledge"
value = 3.17

[[capabilities]]
name = "Persuasion"
family = "transferable_skill"
value = 3.12

[[capabilities]]
name = "Complex Problem Solving"
family = "transferable_skill"
value = 3.12

[[capabilities]]
name = "Sociology and Anthropology"
family = "knowledge"
value = 3.09

[[capabilities]]
name = "Education and Training"
family = "knowledge"
value = 3.08

[[capabilities]]
name = "Foreign Language"
family = "knowledge"
value = 3.02

[[capabilities]]
name = "Negotiation"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Service Orientation"
family = "transferable_skill"
value = 3

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[[skills]]
name = "IBM WebSphere MQ"
type = "Specialized Skill"

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[[tools]]
example = "IBM WebSphere MQ"
category = "Cloud-based management software"
hot = true
inDemand = false

[[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 Outlook"
category = "Electronic mail software"
hot = true
inDemand = false

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

[[tools]]
example = "SAP software"
category = "Enterprise resource planning ERP software"
hot = true
inDemand = false

[[tools]]
example = "Automated Manifest System AMS"
category = "Data base user interface and query software"
hot = false
inDemand = false

[[tools]]
example = "Corel WordPerfect Office Suite"
category = "Office suite software"
hot = false
inDemand = false

[[tools]]
example = "Global positioning system GPS software"
category = "Mobile location based services software"
hot = false
inDemand = false

[[tools]]
example = "Law enforcement information databases"
category = "Data base user interface and query software"
hot = false
inDemand = false

[[tools]]
example = "National Crime Information Center (NCIC) database"
category = "Data base user interface and query software"
hot = false
inDemand = false

[[tools]]
example = "Treasury Enforcement Communications System TECS"
category = "Data base user interface and query software"
hot = false
inDemand = false

[[workContext]]
name = "E-Mail"
value = 5

[[workContext]]
name = "Contact With Others"
value = 4.83

[[workContext]]
name = "Deal With External Customers or the Public in General"
value = 4.8

[[workContext]]
name = "Indoors, Environmentally Controlled"
value = 4.73

[[workContext]]
name = "Telephone Conversations"
value = 4.7

[[workContext]]
name = "Frequency of Decision Making"
value = 4.64

[[workContext]]
name = "Face-to-Face Discussions with Individuals and Within Teams"
value = 4.63

[[workContext]]
name = "Work With or Contribute to a Work Group or Team"
value = 4.58

[[workContext]]
name = "Importance of Being Exact or Accurate"
value = 4.55

[[workContext]]
name = "Impact of Decisions on Co-workers or Company Results"
value = 4.54

[[workContext]]
name = "Dealing With Unpleasant, Angry, or Discourteous People"
value = 4.33

[[workContext]]
name = "Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable"
value = 4.32

[[workContext]]
name = "Consequence of Error"
value = 4.22

[[workContext]]
name = "Freedom to Make Decisions"
value = 4.2

[[workContext]]
name = "Physical Proximity"
value = 4.19

[[workContext]]
name = "Importance of Repeating Same Tasks"
value = 4.13

[[workContext]]
name = "Exposed to Contaminants"
value = 4.1

[[workContext]]
name = "Outdoors, Exposed to All Weather Conditions"
value = 3.99

[[workContext]]
name = "Coordinate or Lead Others in Accomplishing Work Activities"
value = 3.95

[[workContext]]
name = "Determine Tasks, Priorities and Goals"
value = 3.91

[[workContext]]
name = "Time Pressure"
value = 3.86

[[workContext]]
name = "Conflict Situations"
value = 3.82

[[workContext]]
name = "Exposed to Extremely Bright or Inadequate Lighting Conditions"
value = 3.73

[[workContext]]
name = "Exposed to Very Hot or Cold Temperatures"
value = 3.68

[[workContext]]
name = "Written Letters and Memos"
value = 3.64

[[workContext]]
name = "Exposed to Hazardous Equipment"
value = 3.58

[[workContext]]
name = "Spend Time Making Repetitive Motions"
value = 3.54

[[workContext]]
name = "Health and Safety of Other Workers"
value = 3.51

[[workContext]]
name = "Exposed to Disease or Infections"
value = 3.51

[[workContext]]
name = "Level of Competition"
value = 3.51

[[workContext]]
name = "Exposed to Radiation"
value = 3.47

[[workContext]]
name = "Indoors, Not Environmentally Controlled"
value = 3.42

[[workContext]]
name = "Outdoors, Under Cover"
value = 3.42

[[workContext]]
name = "In an Enclosed Vehicle or Operate Enclosed Equipment"
value = 3.39

[[workContext]]
name = "Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls"
value = 3.31

[[workContext]]
name = "Degree of Automation"
value = 3.3

[[workContext]]
name = "Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets"
value = 3.29

[[workContext]]
name = "Spend Time Standing"
value = 3.25

[[workContext]]
name = "Spend Time Sitting"
value = 3.24

[[workContext]]
name = "Exposed to Cramped Work Space, Awkward Positions"
value = 3.15

[[personFit]]
name = "Dependability"
family = "work_style"
value = 7

[[personFit]]
name = "Protective Service"
family = "specific_interest_area"
value = 6.76

[[personFit]]
name = "Attention to Detail"
family = "work_style"
value = 6

[[personFit]]
name = "Conventional"
family = "career_interest_type"
value = 5.27

[[personFit]]
name = "Integrity"
family = "work_style"
value = 5

[[personFit]]
name = "Law"
family = "specific_interest_area"
value = 4.87

[[personFit]]
name = "Enterprising"
family = "career_interest_type"
value = 4.29

[[personFit]]
name = "Cautiousness"
family = "work_style"
value = 4

[[personFit]]
name = "Realistic"
family = "career_interest_type"
value = 3.39

[[personFit]]
name = "Self-Control"
family = "work_style"
value = 3

[[personFit]]
name = "Investigative"
family = "career_interest_type"
value = 2.64

[[personFit]]
name = "Management/Administration"
family = "specific_interest_area"
value = 2.62

[[personFit]]
name = "Social"
family = "career_interest_type"
value = 2.6

[[personFit]]
name = "Stress Tolerance"
family = "work_style"
value = 2.55

[[personFit]]
name = "Public Speaking"
family = "specific_interest_area"
value = 2.35

[[personFit]]
name = "Accounting"
family = "specific_interest_area"
value = 2.31

[[relatedRoles]]
socCode = "13-1041.08"
slug = "role-13-1041-08"
title = "Customs Brokers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "33-3021.00"
slug = "role-33-3021-00"
title = "Detectives and Criminal Investigators"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "33-3051.00"
slug = "role-33-3051-00"
title = "Police and Sheriff's Patrol Officers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "13-1041.00"
slug = "role-13-1041-00"
title = "Compliance Officers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "33-3052.00"
slug = "role-33-3052-00"
title = "Transit and Railroad Police"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "33-9093.00"
slug = "role-33-9093-00"
title = "Transportation Security Screeners"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "33-9021.00"
slug = "role-33-9021-00"
title = "Private Detectives and Investigators"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "43-5011.00"
slug = "role-43-5011-00"
title = "Cargo and Freight Agents"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "33-1012.00"
slug = "role-33-1012-00"
title = "First-Line Supervisors of Police and Detectives"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "13-1041.04"
slug = "role-13-1041-04"
title = "Government Property Inspectors and Investigators"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "43-5011.01"
slug = "role-43-5011-01"
title = "Freight Forwarders"
tier = "Supplemental"

[[relatedRoles]]
socCode = "33-9032.00"
slug = "role-33-9032-00"
title = "Security Guards"
tier = "Supplemental"

[[careerClusters]]
cluster = "Public Service & Safety"
slug = "public-service-safety"

[[studyPrograms]]
title = "Homeland Security, Law Enforcement, Firefighting and Related Protective Services"
slug = "homeland-security-law-enforcement-firefighting-and-related-protective-services"

[[studyPrograms]]
title = "Natural Resources and Conservation"
slug = "natural-resources-and-conservation"

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.098
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = -0.6681123
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = -0.6212816
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -0.6402014
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
