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Found 10 papers, 1 papers with code
Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
The advent of Generative AI, particularly through Large Language Models (LLMs) like ChatGPT and its successors, marks a paradigm shift in the AI landscape.
The Cybersecurity Crisis of Artificial Intelligence: Unrestrained Adoption and Natural Language-Based Attacks
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.
Machine Unlearning: its nature, scope, and importance for a "delete culture"
However, the emerging research area of Machine Unlearning (MU) is highlighted as a potential solution.
Auditing large language models: a three-layered approach
However, existing auditing procedures fail to address the governance challenges posed by LLMs, which display emergent capabilities and are adaptable to a wide range of downstream tasks.
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
First, by describing the enforcement mechanisms included in the AIA in terminology borrowed from existing literature on AI auditing, we help providers of AI systems understand how they can prove adherence to the requirements set out in the AIA in practice.
Ethics-Based Auditing to Develop Trustworthy AI
A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics.
Towards a framework for evaluating the safety, acceptability and efficacy of AI systems for health: an initial synthesis
More recently, this potential has been recognised by policymakers, resulting in considerable public and private investment in the development of AI for healthcare across the globe.
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice
Necessity and sufficiency are the building blocks of all successful explanations.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Online information of vaccines: information quality is an ethical responsibility of search engines
This study investigates the relationship between search engines' approach to privacy and the scientific quality of the information they return.
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices
The debate about the ethical implications of Artificial Intelligence dates from the 1960s.
