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Ethical and societal implications of generative AI-Models

  • This thesis examines the ethical and societal implications of generative AI models, focusing on their associated risks, but also exploring the potential benefits. It synthesizes existing research to outline the primary concerns and opportunities that generative AI presents, with an emphasis on the need for its responsible development and deployment. The analysis includes an exploration of the increasing difficulty in distinguishing between AI-generated and human-created content, highlighting advancements in AI that challenge current notions of authenticity and trust. The work further discusses a variety of broader societal changes and risks that may emerge with generative AI, advocating for the necessity of regulatory interventions to mitigate potential negative outcomes. It assesses and critically investigates the current regulatory landscape and potential regulation strategies, noting the lack of comprehensive and mandatory frameworks to address the implications of generative AI adequately. The critical role of collaborativeThis thesis examines the ethical and societal implications of generative AI models, focusing on their associated risks, but also exploring the potential benefits. It synthesizes existing research to outline the primary concerns and opportunities that generative AI presents, with an emphasis on the need for its responsible development and deployment. The analysis includes an exploration of the increasing difficulty in distinguishing between AI-generated and human-created content, highlighting advancements in AI that challenge current notions of authenticity and trust. The work further discusses a variety of broader societal changes and risks that may emerge with generative AI, advocating for the necessity of regulatory interventions to mitigate potential negative outcomes. It assesses and critically investigates the current regulatory landscape and potential regulation strategies, noting the lack of comprehensive and mandatory frameworks to address the implications of generative AI adequately. The critical role of collaborative efforts among stakeholders in navigating the ethical landscape of generative AI is highlighted. It concludes that addressing the examined challenges requires a multidisciplinary approach, integrating insights from an array of fields, including technology, ethics, and policy to ensure that generative AI advances in a way that aligns with societal values and norms.show moreshow less

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Metadaten
Author:Felix Luan Reichwein
Language:English
Document Type:Bachelor Thesis
Reviewer(s) at THI:Matthias Uhl, Andreas Riener
Publishing Institution:Technische Hochschule Ingolstadt
Date of first Publication:2024/02/26
Year of first Publication:2024
Place of publication:Ingolstadt
Pages:iii, 46
URN:urn:nbn:de:bvb:573-46949
Faculties / Institutes / Organizations:Fakultät Informatik
Degree Programmes:User Experience Design (B. Sc.)
Licence (German):License Logo Urheberrechtsschutz
Release Date:2024/04/23