Negative Human Rights as a Basis for Long-term AI Safety and Regulation

Bajgar, Ondřej; Horenovsky, Jan

doi:10.1613/jair.1.14020

Cited by 4 publications

(2 citation statements)

References 62 publications

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“…In response to the multitude of new risks associated with generative AI, papers advocate for legal regulation and governmental oversight 58,68,88,131 . The focus of these discussions centers on the need for international coordination in AI governance 132 , the establishment of binding safety standards for frontier models 61 , and the development of mechanisms to sanction non-compliance 68 .…”

Section: Governance -Regulationmentioning

confidence: 99%

Ethical and methodological challenges in building morally informed AI systems

Hagendorff

Danks

2022

AI Ethics

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Recent progress in large language models has led to applications that can (at least) simulate possession of full moral agency due to their capacity to report context-sensitive moral assessments in open-domain conversations. However, automating moral decision-making faces several methodological as well as ethical challenges. They arise in the fields of bias mitigation, missing ground truth for moral “correctness”, effects of bounded ethicality in machines, changes in moral norms over time, risks of using morally informed AI systems as actual advice, as well as societal implications an increasing importance of algorithmic moral decision-making would have. This paper comments on all these challenges and provides critical considerations for future research on full artificial moral agency. Importantly, some of the adduced challenges can be met by more careful technology design, but others necessarily require engagement with core problems of meta-ethics.

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Section: Governance -Regulationmentioning

confidence: 99%

Ethical and methodological challenges in building morally informed AI systems

Hagendorff

Danks

2022

AI Ethics

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“…The long-term societal implications of AI's influence on human choice are profound and multifaceted, touching upon various aspects of human life and societal structures. These implications include issues of fairness and bias, scientific progress and conflict, power dynamics and inequality, epistemic processes, human rights, and ethical considerations [22][23][24][25].…”

Section: Ai Influence and Erosion Of The Human Decision-making Agency...mentioning

confidence: 99%

The Era of Artificial Intelligence Deception: Unraveling the Complexities of False Realities and Emerging Threats of Misinformation

Williamson,

Prybutok

2024

Information

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This study delves into the dual nature of artificial intelligence (AI), illuminating its transformative potential that has the power to revolutionize various aspects of our lives. We delve into critical issues such as AI hallucinations, misinformation, and unpredictable behavior, particularly in large language models (LLMs) and AI-powered chatbots. These technologies, while capable of manipulating human decisions and exploiting cognitive vulnerabilities, also hold the key to unlocking unprecedented opportunities for innovation and progress. Our research underscores the need for robust, ethical AI development and deployment frameworks, advocating a balance between technological advancement and societal values. We emphasize the importance of collaboration among researchers, developers, policymakers, and end users to steer AI development toward maximizing benefits while minimizing potential harms. This study highlights the critical role of responsible AI practices, including regular training, engagement, and the sharing of experiences among AI users, to mitigate risks and develop the best practices. We call for updated legal and regulatory frameworks to keep pace with AI advancements and ensure their alignment with ethical principles and societal values. By fostering open dialog, sharing knowledge, and prioritizing ethical considerations, we can harness AI’s transformative potential to drive human advancement while managing its inherent risks and challenges.

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Mapping the Ethics of Generative AI: A Comprehensive Scoping Review

Hagendorff

2024

Minds & Machines

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The advent of generative artificial intelligence and the widespread adoption of it in society engendered intensive debates about its ethical implications and risks. These risks often differ from those associated with traditional discriminative machine learning. To synthesize the recent discourse and map its normative concepts, we conducted a scoping review on the ethics of generative artificial intelligence, including especially large language models and text-to-image models. Our analysis provides a taxonomy of 378 normative issues in 19 topic areas and ranks them according to their prevalence in the literature. The study offers a comprehensive overview for scholars, practitioners, or policymakers, condensing the ethical debates surrounding fairness, safety, harmful content, hallucinations, privacy, interaction risks, security, alignment, societal impacts, and others. We discuss the results, evaluate imbalances in the literature, and explore unsubstantiated risk scenarios.

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Negative Human Rights as a Basis for Long-term AI Safety and Regulation

Cited by 4 publications

References 62 publications

Ethical and methodological challenges in building morally informed AI systems

Ethical and methodological challenges in building morally informed AI systems

The Era of Artificial Intelligence Deception: Unraveling the Complexities of False Realities and Emerging Threats of Misinformation

Mapping the Ethics of Generative AI: A Comprehensive Scoping Review

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