Results 31 to 40 of about 227,255 (301)

Trustworthy AI for the People?

, 2021
While AI systems become more pervasive, their social impact is increasingly hard to measure. To help mitigate possible risks and guide practitioners into a more responsible design, diverse organizations have released AI ethics frameworks.
Teresa Cerratto Pargman, Verhagen, Harko Henricus,, Ceratto Pargman, Teresa,, Clàudia Figueras, Figueras Julián, Clàudia,, Harko Verhagen   +5 more
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Ethics of AI

Voices in Bioethics, 2020
Disproportionately high rates of mortality and severe disease experienced by African Americans during this COVID-19 pandemic have been reported by the Centers for Disease Control and Prevention (CDC). Initial characteristic data from 14 states identified
Alyse Callaway Chase
doaj   +1 more source

Governance in Ethical and Trustworthy AI Systems: Extension of the ECCOLA Method for AI Ethics Governance Using GARP

e-Informatica Software Engineering Journal, 2023
Background: The continuous development of artificial intelligence (AI) and increasing rate of adoption by software startups calls for governance measures to be implemented at the design and development stages to help mitigate AI governance concerns ...
Mamia Agbese, Hanna-Kaisa Alanen, Jani Antikainen, Halme Erika, Hannakaisa Isomaki, Marianna Jantunen, Kai-Kristian Kemell, Rebekah Rousi, Heidi Vainio-Pekka, Ville Vakkuri   +9 more
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Community-in-the-loop

, 2022
341362Today, due to growing computing power and the increasing availability of high-quality datasets, artificial intelligence (AI) technologies are entering many areas of our everyday life.
Häußermann, Johann Jakob, Lütge, Christoph   +1 more
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A call to bring back the teeth of ethics

Big Data & Society, 2020
Ethics has powerful teeth, but these are barely being used in the ethics of AI today – it is no wonder the ethics of AI is then blamed for having no teeth.
Anaïs Rességuier, Rowena Rodrigues
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THREE KINDS OF AI ETHICS [PDF]

There is an overwhelming abundance of works in AI Ethics. This growth is chaotic because of how sudden it is, its volume, and its multidisciplinary nature. This makes difficult to keep track of debates, and to systematically characterize goals, research questions, methods, and expertise required by AI ethicists.
Ratti, Emanuele
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AI and Human Reasoning: Qualitative Research in the Age of Large Language Models [PDF]

Context: The advent of AI-driven large language models (LLMs), such as ChatGPT 3.5 and GPT-4, have stirred discussions about their role in qualitative research. Some view these as tools to enrich human understanding, while others perceive them as threats
Whittle, J, Bano, M, Zowghi, D
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The tech industry hijacking of the AI ethics research agenda and why we should reclaim it

Discover Artificial Intelligence, 2022
This paper reflects on the tech industry’s colonization of the AI ethics research field and addresses conflicts of interest in public policymaking concerning AI.
Anne Gerdes
doaj   +1 more source

AI Ethics and Neuroethics Promote Relational AI Discourse

, 2023
4755Based on mathematical models of biological learning processes, computer-based computational algorithms form the basis for ‘Machine Learning’ or ‘Artificial Intelligence’ (AI).
Weh, Ludwig, Soetebeer, Magdalena
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The State of AI Ethics Report (June 2020) [PDF]

, 2020
These past few months have been especially challenging, and the deployment of technology in ways hitherto untested at an unrivalled pace has left the internet and technology watchers aghast. Artificial intelligence has become the byword for technological
Heath, Victoria, De Gasperis, Tania, Gupta, Abhishek, Galinkin, Erick, Akif, Mo, Butalid, Renjie, Lanteigne, Camylle, Cohen, Allison, Ganapini, Marianna Bergamaschi   +8 more
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