Masterarbeit, 2019
111 Seiten, Note: 1
This master's thesis examines the governance of artificial intelligence (AI) in Europe and the United States, analyzing the visions and expectations associated with this emerging technology in both regions. The work explores how these visions are articulated in official policy documents, highlighting the potential benefits and risks, the role of governance, and the envisaged participation of society in the assessment, development, and regulation of AI.
Artificial intelligence (AI), emerging technologies, governance, policy analysis, United States, European Union, benefits and risks, societal impact, technological innovation, machine learning, deep learning, ethics, trust, policy cultures.
They are collective visions and social changes projected onto emerging technologies that shape how these technologies are assessed, regulated, and integrated into society.
The thesis compares regulatory attitudes, noting the EU's focus on ethics and "trustworthy AI" versus the US's emphasis on innovation, competition, and economic automation.
Documents highlight risks related to algorithmic bias, loss of privacy, economic disruption through automation, and the ethical challenges of self-learning systems.
Policy documents imagine society as a participant in the assessment and development of AI, though the level of actual engagement varies across different political cultures.
While some attitudes reflect imaginaries from previous technologies, AI constitutes a novel moment because it specifically deals with regulating self-learning intelligence.
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