While GPT-4’s report is a step towards open discussions on LLMs, more extensive interdisciplinary reviews are essential for addressing bias, harm, and risk concerns, especially in high-risk domains.
This review aims to provide a comprehensive understanding of how cutting-edge deep learning applications are becoming crucial tools in the strategic arsenal against human trafficking, offering a beacon of hope for victims and a significant challenge to traffickers.
It is posits that the banking sector must embrace a holistic and adaptive approach to cybersecurity, underscored by strategic investments in technology, education, and collaboration to navigate the evolving cyber threat landscape effectively.
It is presented that computers can bring great changes to classrooms in the next decade, but improper enthusiasm must be discouraged and the passion for computers can be managed by a more realistic research agenda.
This paper proposes CoTaEval, an evaluation framework to assess the effectiveness of copyright takedown methods, the impact on the model's ability to retain uncopyrightable factual knowledge from the training data whose recitation is embargoed, and how well the model maintains its general utility and efficiency.
This work articulates fundamental mismatches between technical methods for machine unlearning in Generative AI, and documented aspirations for broader impact that these methods could have for law and policy, and provides a framework for thinking rigorously about these challenges.
This paper presents the first systematic study of content moderation policies from the 43 largest online platforms hosting user-generated content, focusing on policies around copyright infringement, harmful speech, and misleading content.
The article argues in favour of establishing clear guidelines for the generation and processing of synthetic data, prioritising the principles of transparency, accountability and fairness, with a focus on the European Union's General Data Protection Regulation.
This work introduces Copy-Protected generation with Retrieval (CPR), a new method for RAG with strong copyright protection guarantees in a mixed-private setting for diffusion models, and proves that CPR satisfies Near Access Freeness (NAF), which bounds the amount of information an attacker may be able to extract from the generated images.
A typology is proposed that distinguishes the different stages of the AI life-cycle, the high-level ethical principles that should govern their implementation, and the tools with the potential to foster compliance with these principles, encompassing both technical and conceptual resources.
A dataset comprising 428 worldwide data breaches between 2018 and 2019 is studied, providing a visualization of the related statistics, such as the most affected countries, the predominant economic sector targeted in different countries, and the median number of records leaked per incident in different countries, regions, and sectors.
An in-depth examination of a variety of articles is conducted to enhance the comprehension of the challenges related to safeguarding and fortifying data within the cloud environment and strategically addresses emerging challenges in cloud digital forensics.
This article analyzes current solutions that mitigate privacy issues associated with Remote ID and identifies multiple challenges that require to be addressed by both industry and academia, and proposes future research directions to improve the security and privacy of UAVs.
It is recommended that educators introduce AI as one tool among many in the designer’s toolkit and encourage it to be used as a process tool rather than for generating final design deliverables.
The use of HMWDs in clinical and research settings raises several ethical and legal concerns, ranging from patient safety to autonomy, justice, and data protection, which may lead to dehumanization and datafication of care relationships and further marginalization of vulnerable populations.
This review examines the evolution of the PCR from its inception in the 1980s, through to its current application in forensic science, along with a critical comparison of cycling conditions used in commercial PCR kits.
To address the ethical, legal, and societal issues raised by highly accessible and portable MRI, an interdisciplinary Working Group engaged in a multi-year structured process of analysis and consensus building, informed by empirical research on the perspectives of experts and the general public is presented.
The need for collaboration among stakeholders and the development of comprehensive legal and regulatory frameworks to address the challenges and ensure the successful implementation of blockchain technology in various sectors is discussed.
Using cadaveric images in anatomy textbooks is appropriate, and no additional consent should be necessary, and such usage falls within the good faith of professionals using these invaluable gifts.
The study systematically categorizes cyber threats, scrutinizes their distinctive characteristics, and elucidates the modus operandi of each attack type, offering indispensable insights for securing the authors' digital future in an era marked by escalating interconnectivity and technological dependence.
An analysis of the interaction between the 510(k) process —the historically dominant path to market for most medical devices— and the De Novo pathway, a more recent alternative that targets more novel devices, including those involving new technologies, diagnostics, hardware, and software.
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