Exploring the Potential of ChatGPT for Human Enhancement in a Posthumanist Context
Author
Aslan, Esmanur
Term
4. term
Education
Publication year
2023
Abstract
Denne kandidatafhandling i Tekno-antropologi ved Aalborg Universitet København undersøger, hvordan ChatGPT potentielt kan bidrage til menneskelig forstærkning (enhancement) i et posthumanistisk perspektiv. Afhandlingen placerer emnet i debatter om AI, store sprogmodeller og menneske-maskine-komplementaritet og gennemgår litteratur om produktivitet, samtaleagenter og designmæssige overvejelser. Metodeafsnittet (med stikprøve og analyseteknik) omtales, men detaljer fremgår ikke af dette uddrag. Resultatafsnittet er organiseret i tre temaer: enhancement (generelle gevinster, bedre tidsstyring, læring af ny viden og færdigheder, kreativitet); begrænsninger (mulig påvirkning af brugeres kognitive evner, bias, pålidelighed, troværdighed, sikkerhed og privatliv); samt relationen mellem ChatGPT og brugere (fx 'højre arm' eller 'mentor', menneske-ChatGPT-hybriditet i problemløsning og ChatGPTs rolle i vidensproduktion). Diskussionen adresserer de teoretiske implikationer i et posthumanistisk lys. Da uddraget ikke indeholder empiriske detaljer og konklusioner, kan specifikke metoder og resultater ikke opsummeres her.
This master’s thesis in Techno-Anthropology at Aalborg University Copenhagen explores how ChatGPT may contribute to human enhancement from a posthumanist perspective. It situates the topic within debates on AI, large language models, and human–machine complementarity, and reviews literature on productivity, conversational agents, and design considerations. The methodology section (covering sample and analysis technique) is noted, but details are not available in this excerpt. The results chapter is organized into three themes: enhancement (general gains, better time management, learning new knowledge and skills, creativity); limitations (possible impacts on users’ cognitive capabilities, bias, reliability, credibility, security and privacy); and the relationship between ChatGPT and users (e.g., 'right arm' or 'mentor,' human–ChatGPT hybridity in problem solving, and ChatGPT’s role in knowledge production). The discussion reflects on theoretical implications through a posthumanist lens. Because empirical details and conclusions are not included in the excerpt, specific methods and outcomes cannot be fully summarized here.
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