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 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.
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.
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.
The rise of AI in higher education offers significant opportunities for streamlining learning outcomes, operational efficiency, and even institutional progress, so the adoption of AI should integrate these ethical, and sometimes even legal, frameworks.
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 study advances the ongoing discourse on deepfake technology by providing stakeholders and policymakers with evidence-based recommendations aimed at mitigating the associated risks and harnessing potential benefits, and promotes a balanced and informed approach to navigating the complexities of this emerging technological challenge.
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.
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.
Although there is a consensus that RAI practices are a necessity, their implementation in real-world is still in its early day and the involvement of all relevant stakeholders is irreplaceable in driving and shaping RAI practices.
This paper reviews the Daubert and Kumho rulings in light of the rehabilitation profession, and evaluates the impact of the rulings on actual case studies, including testimony and opinion of experts.
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.
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.
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 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.
Findings showed the most prevalent NPS and OTC and POM classes reported in prisons were synthetic cannabinoids receptor agonists (SCRAs) and opioids, respectively.
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