This paper analyzes the state of modern artificial intelligence research from a philosophical perspective, in order to argue for interdisciplinary cooperation in building an effective AI research paradigm. I assess four different aspects of AI: its ability to perceive the world through pattern recognition, its ability to act in the world through reinforcement learning, its role in technological society as predicted by Heidegger’s theory of technology, and its future development into potential superintelligence. By connecting these to an unexamined theory of the human mind underpinning AI research, I seek to show the relationship between our understanding of natural minds and of artificial intelligence, and how each may inform the other. Thus, this paper suggests that an improved understanding of natural minds may inspire AI researchers in their innovations, and that the discoveries made in AI research may in turn weigh for or against the hypotheses of philosophers.
","abstract_html":"<p>This paper analyzes the state of modern artificial intelligence research from a philosophical perspective, in order to argue for interdisciplinary cooperation in building an effective AI research paradigm. I assess four different aspects of AI: its ability to perceive the world through pattern recognition, its ability to act in the world through reinforcement learning, its role in technological society as predicted by Heidegger’s theory of technology, and its future development into potential superintelligence. By connecting these to an unexamined theory of the human mind underpinning AI research, I seek to show the relationship between our understanding of natural minds and of artificial intelligence, and how each may inform the other. Thus, this paper suggests that an improved understanding of natural minds may inspire AI researchers in their innovations, and that the discoveries made in AI research may in turn weigh for or against the hypotheses of philosophers.</p>","abstract_has_math":false,"creators":["Kumleben, Mark"],"institution":null,"degree_name":"Politics, MA","degree_level":"Open Access Master's Thesis","degree_discipline":"School of Social Science, Politics, and Evaluation","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-01-01T08:00:00Z","date_published":"2020-01-01T08:00:00Z","updated_at":"2026-07-24T01:40:22Z","subjects":["AI","Artificial Intelligence","Futurism","Heidegger","Superintelligence","Technology","Political Science"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarship.claremont.edu/cgu_etd/622","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Kumleben, Mark"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2023-01-01T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["School of Social Science, Politics, and Evaluation"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Open Access Master's Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Politics, MA"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["AI","Artificial Intelligence","Futurism","Heidegger","Superintelligence","Technology","Political Science"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarship.claremont.edu/cgu_etd/622"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This paper analyzes the state of modern artificial intelligence research from a philosophical perspective, in order to argue for interdisciplinary cooperation in building an effective AI research paradigm. I assess four different aspects of AI: its ability to perceive the world through pattern recognition, its ability to act in the world through reinforcement learning, its role in technological society as predicted by Heidegger’s theory of technology, and its future development into potential superintelligence. By connecting these to an unexamined theory of the human mind underpinning AI research, I seek to show the relationship between our understanding of natural minds and of artificial intelligence, and how each may inform the other. Thus, this paper suggests that an improved understanding of natural minds may inspire AI researchers in their innovations, and that the discoveries made in AI research may in turn weigh for or against the hypotheses of philosophers.
"]},{"key":"dc:title","label":"Title","values":["Modern Artificial Intelligence: Philosophical Context and Future Consequences"]}]}],"canonical_facts":{"dc:creator":["Kumleben, Mark"],"dc:date.available":["2023-01-01T08:00:00Z"],"dc:description.abstract":["This paper analyzes the state of modern artificial intelligence research from a philosophical perspective, in order to argue for interdisciplinary cooperation in building an effective AI research paradigm. I assess four different aspects of AI: its ability to perceive the world through pattern recognition, its ability to act in the world through reinforcement learning, its role in technological society as predicted by Heidegger’s theory of technology, and its future development into potential superintelligence. By connecting these to an unexamined theory of the human mind underpinning AI research, I seek to show the relationship between our understanding of natural minds and of artificial intelligence, and how each may inform the other. Thus, this paper suggests that an improved understanding of natural minds may inspire AI researchers in their innovations, and that the discoveries made in AI research may in turn weigh for or against the hypotheses of philosophers.
"],"dc:identifier":["https://scholarship.claremont.edu/cgu_etd/622"],"dc:subject":["AI","Artificial Intelligence","Futurism","Heidegger","Superintelligence","Technology","Political Science"],"dc:title":["Modern Artificial Intelligence: Philosophical Context and Future Consequences"],"thesis:degree_discipline":["School of Social Science, Politics, and Evaluation"],"thesis:degree_level":["Open Access Master's Thesis"],"thesis:degree_name":["Politics, MA"]},"updated_at":"2026-07-24T01:40:22Z"}