Anthropologists

Explain the origins and physical, social, or cultural development of humans, including physical attributes, cultural traditions, beliefs, languages, resource management practices, and settlement patterns.

AI: Fully automatable - AI can fully synthesize and explain origins and human physical, social, and cultural development by aggregating current literature, comparative data, and linguistic and archaeological summaries into coherent accounts.

Apply systematic sampling techniques to ensure the accuracy, completeness, precision, and representativeness of individuals selected for sample surveys.

AI: Fully automatable - AI and statistical software can design, simulate, and implement rigorous sampling plans and selections given a sampling frame and data, fully automating the technical aspects.

Build and use text-based database management systems to support the analysis of detailed first-hand observational records, or field notes.

AI: Fully automatable - AI can build and operate text-based database systems, perform OCR, indexing, search, and NLP analysis of field notes, fully supporting this technical task.

Build geographic information systems (GIS) to record, analyze, and cartographically represent the distribution of languages, cultural and natural resources, land use, and settlement patterns of specific populations.

AI: Fully automatable - AI can create GIS databases, ingest spatial data, run spatial analyses, and generate cartographic representations automatically given adequate input data and specifications.

Analyze and characterize user experiences and institutional settings to assist consumer product developers, technology developers, and software engineers with the design of innovative products and services.

AI: Fully automatable - AI can analyze qualitative and quantitative user data, synthesize institutional context, generate personas, journey maps, and concrete design recommendations to assist product and software teams.

Collect information and make judgments through observation, interviews, and review of documents.

AI: Partial - AI can assist with designing instruments, transcribing, coding and identifying patterns in observational and interview data, but cannot fully replicate in-person ethnographic judgment, rapport-building, and context-sensitive interpretation.

Write about and present research findings for a variety of specialized and general audiences.

AI: Partial - AI can draft research articles, summaries and presentation materials for varied audiences, but human researchers are needed to ensure interpretive accuracy, scholarly credibility, and conduct live presentation and engagement.

Teach and mentor undergraduate and graduate students in anthropology.

AI: Partial - AI can generate lectures, provide tutoring and automate some assessment, but effective teaching and mentorship—particularly advanced research supervision and career guidance—require human judgment and relational skills.

Plan and direct research to characterize and compare the economic, demographic, health care, social, political, linguistic, and religious institutions of distinct cultural groups, communities, and organizations.

AI: Partial - AI can help design comparative studies, analyze large datasets, and produce hypotheses, but planning, directing, and ethically overseeing complex cross-cultural research demands human leadership and contextual expertise.

Gather and analyze artifacts and skeletal remains to increase knowledge of ancient cultures.

AI: Partial - AI can assist with imaging analysis, classification and preliminary interpretation of artifacts and skeletal remains, but cannot perform physical excavation, conservation, or the ethical and legal oversight needed for collection and analysis.

Identify culturally specific beliefs and practices affecting health status and access to services for distinct populations and communities, in collaboration with medical and public health officials.

AI: Partial - AI can identify culturally specific beliefs and practices from ethnographic literature and datasets to inform health access issues but cannot fully perform the necessary real-world collaboration, trust-building, and coordinated public-health fieldwork with officials.

Train others in the application of ethnographic research methods to solve problems in organizational effectiveness, communications, technology development, policy making, and program planning.

AI: Partial - AI can generate curricula, lesson plans, case studies, and simulated exercises for ethnographic methods, but cannot fully substitute for in-person mentorship, supervised field practicum, and nuanced pedagogical adaptation by experienced trainers.

Advise government agencies, private organizations, and communities regarding proposed programs, plans, and policies and their potential impacts on cultural institutions, organizations, and communities.

AI: Partial - AI can analyze proposed programs and model potential cultural impacts to advise agencies and organizations, but lacks the local legitimacy, political judgment, and stakeholder negotiation capacity to fully replace human advisors.

Construct and test data collection methods.

AI: Partial - AI can construct data collection instruments and run simulations or pilot analyses to test them, yet field testing, iterative adjustments in situ, and local methodological calibration still require human-led work.

Create data records for use in describing and analyzing social patterns and processes, using photography, videography, and audio recordings.

AI: Partial - AI can create structured data records from provided photography, videography, and audio (transcription, annotation, metadata, indexing) but cannot independently perform the physical capture of multimedia in the field.

Develop intervention procedures, using techniques such as individual and focus group interviews, consultations, and participant observation of social interaction.

AI: Partial - AI can design intervention procedures and interview/focus-group protocols informed by best practices and prior studies, but cannot autonomously conduct participant observation or manage complex in-person consultations and ethical field dynamics.

Identify key individual cultural collaborators, using reputational and positional selection techniques.

AI: Partial - AI can identify candidate cultural collaborators by analyzing reputational, positional, and network data, but cannot perform the essential local vetting, ethical consent processes, and relationship-building to finalize selections.

Collaborate with economic development planners to decide on the implementation of proposed development policies, plans, and programs based on culturally institutionalized barriers and facilitating circumstances.

AI: Partial - AI can collaborate analytically with economic planners—identifying culturally institutionalized barriers and facilitators and recommending implementation options—but cannot carry out the political negotiation and community engagement required for final decisions.

Examine museum collections of hominid fossils to classify anatomical and physiological variations and to determine how they fit into evolutionary theory.

AI: Partial - AI can assist in examining fossil images and 3D scans to classify anatomical variation and compare to evolutionary databases, but expert paleontological judgment and interpretive synthesis remain necessary for definitive classification and theory placement.

Organize public exhibits and displays to promote public awareness of diverse and distinctive cultural traditions.

AI: Partial - AI can generate exhibit content, labels, multimedia and layout suggestions but cannot fully manage community consultation, curation ethics, and physical installation logistics.

Conduct participatory action research in communities and organizations to assess how work is done and to design work systems, technologies, and environments.

AI: Partial - AI can assist with data collection, analysis, and design prototyping for participatory action research but cannot replace in-person engagement, trust-building, and co-design with communities.

Formulate general rules that describe and predict the development and behavior of cultures and social institutions.

AI: Partial - AI can detect patterns and propose hypotheses about cultural dynamics but cannot reliably formulate validated general rules about cultures and institutions without extensive human theoretical interpretation and ethical judgement.

Study archival collections of primary historical sources to help explain the origins and development of cultural patterns.

AI: Partial - AI can process, transcribe, and surface connections in archival collections at scale but interpretation of provenance, context, and historiographic significance still requires human expertise.

Apply traditional ecological knowledge and assessments of culturally distinctive land and resource management institutions to assist in the resolution of conflicts over habitat protection and resource enhancement.

AI: Partial - AI can synthesize traditional ecological knowledge, model scenarios, and map resource systems, but cannot authentically apply TEK or negotiate culturally appropriate conflict resolution without community leadership and consent.

Enhance the cultural sensitivity of elementary and secondary curricula and classroom interactions in collaboration with educators and teachers.

AI: Partial - AI can produce culturally sensitive curriculum materials and training aids, yet effective enhancement requires collaborative work with educators and contextual classroom implementation by humans.

Participate in forensic activities, such as tooth and bone structure identification, in conjunction with police departments and pathologists.

AI: Partial - AI can assist forensic identification through image analysis and pattern recognition of teeth and bones, but legal responsibility, chain-of-custody, and expert interpretation remain human tasks.

Observe and measure bodily variations and physical attributes of different human groups.

AI: Partial - AI can analyze photographs and anthropometric datasets to measure and quantify bodily variation, but cannot perform independent in‑person measurements, obtain consent, or address field ethical/contextual issues.

Observe the production, distribution, and consumption of food to identify and mitigate threats to food security.

AI: Partial - AI can ingest supply chain data, remote sensing, and consumption datasets to detect risks and suggest mitigations, but cannot fully replace on‑the‑ground observation, local stakeholder engagement, and implementation.