This work introduces CBR-RAG, where CBR cycle's initial retrieval stage, its indexing vocabulary, and similarity knowledge containers are used to enhance LLM queries with contextually relevant cases, and presents an evaluation of CBR-RAG.
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.
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.
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.
The study concludes that RegTech innovations hold the potential to transform the financial sector's approach to compliance management by embracing these technologies and suggests that regulatory bodies and financial institutions collaborate to foster an environment conducive to RegTech innovation and implementation.
Fundamental mismatches between technical methods for machine unlearning in Generative AI are articulated, and aspirations for broader impact that these methods could have for law and policy are documented.
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.
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.
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.
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.
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.
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.
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.
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.
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 found that most LLMs do not memorize most books -- either in whole or in part, but it is also found that Llama 3.1 70B entirely memorizes some books, like the first Harry Potter book and 1984.
It is suggested that integrating digital solutions, such as electronic health records and centralized data systems, could enhance fraud detection in resource-limited settings, and the importance of ethical training, cultural shifts, and patient empowerment in preventing fraud was emphasized.
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.
This analysis explores the impact of quantum computing on critical infrastructure and cloud services, meticulously evaluating potential vulnerabilities across various layers, and offers a sophisticated, actionable framework for fortifying infrastructure and cloud environments against the multifaceted challenges of the quantum era.
This work draws on the technical literature to provide a firm foundation for legal discussions, providing a precise definition of memorization: a model has"memorized" a piece of training data when it is possible to reconstruct from the model a near-exact copy of a substantial portion of that piece of training data.
Sponsors are urged to contribute to NAMs evolution through consortia participation, peer-reviewed publications, and documenting animal reduction in studies/programs, accelerating the eventual elimination of animal use in pharmaceutical development, as envisioned in the FDA Modernization Act 3.0.
This work works with legal professionals to transform a large open-source legal corpus into a dataset supporting two important backbone tasks: information retrieval (IR) and retrieval-augmented generation (RAG).
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