Zobrazeno 1 - 10
of 4 127
pro vyhledávání: '"Floridi, A."'
Publikováno v:
Minds and Machines, 2023
Organisations that design and deploy artificial intelligence (AI) systems increasingly commit themselves to high-level, ethical principles. However, there still exists a gap between principles and practices in AI ethics. One major obstacle organisati
Externí odkaz:
http://arxiv.org/abs/2407.05341
Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry
Publikováno v:
Frontiers in Computer Science (2022)
While the use of artificial intelligence (AI) systems promises to bring significant economic and social benefits, it is also coupled with ethical, legal, and technical challenges. Business leaders thus face the question of how to best reap the benefi
Externí odkaz:
http://arxiv.org/abs/2407.05339
Autor:
Mokander, Jakob, Floridi, Luciano
Publikováno v:
AI Ethics (2022)
Ethics based auditing (EBA) is a structured process whereby an entitys past or present behaviour is assessed for consistency with moral principles or norms. Recently, EBA has attracted much attention as a governance mechanism that may bridge the gap
Externí odkaz:
http://arxiv.org/abs/2407.06232
On the whole, the U.S. Algorithmic Accountability Act of 2022 (US AAA) is a pragmatic approach to balancing the benefits and risks of automated decision systems. Yet there is still room for improvement. This commentary highlights how the US AAA can b
Externí odkaz:
http://arxiv.org/abs/2407.06234
Regulation is nothing without enforcement. This particularly holds for the dynamic field of emerging technologies. Hence, this article has two ambitions. First, it explains how the EU's new Artificial Intelligence Act (AIA) will be implemented and en
Externí odkaz:
http://arxiv.org/abs/2407.10369
Publikováno v:
Minds & Machines 34, 36 (2024)
The article argues that AI can enhance the measurement and implementation of democratic processes within political parties, known as Intra-Party Democracy (IPD). It identifies the limitations of traditional methods for measuring IPD, which often rely
Externí odkaz:
http://arxiv.org/abs/2405.09529
The advent of Generative AI, particularly through Large Language Models (LLMs) like ChatGPT and its successors, marks a paradigm shift in the AI landscape. Advanced LLMs exhibit multimodality, handling diverse data formats, thereby broadening their a
Externí odkaz:
http://arxiv.org/abs/2401.07348
The widespread integration of autoregressive-large language models (AR-LLMs), such as ChatGPT, across established applications, like search engines, has introduced critical vulnerabilities with uniquely scalable characteristics. In this commentary, w
Externí odkaz:
http://arxiv.org/abs/2311.09224
Autor:
Arianna Latini, Cristina Cantale, Laura Gazza, Francesca Nocente, Giada Migliore, Oliviero Maccioni, Ombretta Marconi, Simona Floridi, Giovanni De Francesco, Karim Ammar, Patrizia Galeffi
Publikováno v:
Exploration of Foods and Foodomics, Vol 2, Iss 6, Pp 613-625 (2024)
Aim: Triticale is a well adaptable crop, tolerant of disease and abiotic stresses, and able to grow with good yields even in poor soil, thus representing a good choice to develop a new industrial agri-chain in Italy in a sustainability contest, to co
Externí odkaz:
https://doaj.org/article/aa65d081fabe4b44822d8d0cdd52111a
Autor:
Floridi, Luciano
The article explores the cultural shift from recording to deleting information in the digital age and its implications on privacy, intellectual property (IP), and Large Language Models like ChatGPT. It begins by defining a delete culture where inform
Externí odkaz:
http://arxiv.org/abs/2305.15242