The rapid growth of software supply chain attacks has attracted considerable attention to bill materials (SBOM). SBOMs are a crucial building block ensure the transparency chains that helps improve security. Although there significant efforts from academia and industry facilitate SBOM development, it is still unclear how practitioners perceive what challenges adopting in practice. Furthermore, existing SBOM-related studies tend be ad-hoc lack engineering focuses. To bridge this gap, we...

Artificial Intelligence (AI), particularly through the advent of large-scale generative AI (GenAI) models such as Large Language Models (LLMs), has become a transformative element in contemporary technology. While these have unlocked new possibilities, they simultaneously present significant challenges, concerns over data privacy and propensity to generate misleading or fabricated content. Current frameworks for Responsible (RAI) often fall short providing granular guidance necessary...

The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities generating realistic images, texts, and data patterns. However, these advancements come with heightened concerns over privacy copyright infringement, primarily due to the reliance on vast datasets for model training. Traditional approaches like differential privacy, machine unlearning, poisoning only offer fragmented solutions complex issues. Our paper delves into...

The increase of software supply chain threats has underscored the necessity for robust security mechanisms, among which Software Bill Materials (SBOM) stands out as a promising solution. SBOMs, by providing machine-readable inventory composition details, play crucial role in enhancing transparency and traceability within chains. This empirical study delves into practical challenges solutions associated with adoption SBOMs through an analysis 4,786 GitHub discussions across 510 SBOM-related...

The rapid development of artificial intelligence (AI) has led to increasing concerns about the capability AI systems make decisions and behave responsibly. Responsible (RAI) refers use that benefit humans, society, environment while minimising risk negative consequences. To ensure responsible AI, risks associated with systems' must be identified, assessed mitigated. Various assessment frameworks have been released recently by governments, organisations, companies. However, it can challenging...

The rapid development of artificial intelligence (AI) has led to increasing concerns about the capability AI systems make decisions and behave responsibly. Responsible (RAI) refers use that benefit humans, society, environment while minimising risk negative consequences. To ensure responsible AI, risks associated with systems' must be identified, assessed mitigated. Various assessment frameworks have been released recently by governments, organisations, companies. However, it can challenging...

The advent of advanced AI underscores the urgent need for comprehensive safety evaluations, necessitating collaboration across communities (i.e., AI, software engineering, and governance).However, divergent practices terminologies these communities, combined with complexity systems-of which models are only a part-and environmental affordances (e.g., access to tools), obstruct effective communication evaluation.This paper proposes framework system evaluation comprising three components: 1)...

Artificial Intelligence (AI) is a widely developed and adopted technology across entire industry sectors. Integrating environmental, social, governance (ESG) considerations with AI investments crucial for ensuring ethical sustainable technological advancement. Particularly from an investor perspective, this integration not only mitigates risks but also enhances long-term value creation by aligning initiatives broader societal goals. Yet, area has been less explored in both academia industry....

Abstract Temporal muscle thickness (TMT) serves as an indicator of sarcopenia and holds predictive value for various cancers. This study aims to evaluate the prognostic significance TMT high-grade glioma patients. A retrospective review 172 patients from January 2015 December 2022 was conducted. measured based on contrast-enhanced T1-weighted magnetic resonance images before surgery. Pearson analysis used potential correlations. Cox regression performed overall survival In our study, cutoff...

The rapid advancement of Artificial Intelligence (AI), represented by ChatGPT, has raised concerns about responsible AI development and utilization. Existing frameworks lack a comprehensive synthesis risk assessment questions. To address this, we introduce QB4AIRA, novel question bank developed refining questions from five globally recognized frameworks, categorized according to Australia's ethics principles. QB4AIRA comprises 293 prioritized covering wide range areas, facilitating effective...

Artificial Intelligence (AI), particularly through the advent of large-scale generative AI (GenAI) models such as Large Language Models (LLMs), has become a transformative element in contemporary technology. While these have unlocked new possibilities, they simultaneously present significant challenges, concerns over data privacy and propensity to generate misleading or fabricated content. Current frameworks for Responsible (RAI) often fall short providing granular guidance necessary...

In the era of advanced artificial intelligence, highlighted by large-scale generative models like GPT-4, ensuring traceability, verifiability, and reproducibility datasets throughout their lifecycle is paramount for research institutions technology companies. These organisations increasingly rely on vast corpora to train fine-tune AI models, resulting in intricate data supply chains that demand effective governance mechanisms. addition, challenge intensifies as diverse stakeholders may use...

As Artificial Intelligence (AI) becomes integral to business operations, integrating Responsible AI (RAI) within Environmental, Social, and Governance (ESG) frameworks is essential for ethical sustainable deployment. This study examines how leading companies align RAI with their ESG goals. Through interviews 28 industry leaders, we identified a strong link between practices. However, significant gap exists internal policies public disclosures, highlighting the need greater board-level...

The rapid growth of Artificial Intelligence (AI) has underscored the urgent need for responsible AI practices. Despite increasing interest, a comprehensive risk assessment toolkit remains lacking. This study introduces our Responsible (RAI) Question Bank, framework and tool designed to support diverse initiatives. By integrating ethics principles such as fairness, transparency, accountability into structured question format, RAI Bank aids in identifying potential risks, aligning with...

The rapid growth of software supply chain attacks has attracted considerable attention to bill materials (SBOM). SBOMs are a crucial building block ensure the transparency chains that helps improve security. Although there significant efforts from academia and industry facilitate SBOM development, it is still unclear how practitioners perceive what challenges adopting in practice. Furthermore, existing SBOM-related studies tend be ad-hoc lack engineering focuses. To bridge this gap, we...

The Software Bill of Materials (SBOM) has emerged as a promising solution, providing machine-readable inventory software components used, thus bolstering supply chain security. This paper presents an extensive study concerning the practical aspects SBOM practice. Leveraging analysis 4,786 GitHub discussions from 510 SBOM-related projects, our research delineates key topics, challenges, and solutions intrinsic to effective utilization SBOMs. Furthermore, we shed light on commonly used tools...

The World Wide Web, a ubiquitous source of information, serves as primary resource for countless individuals, amassing vast amount data from global internet users. However, this online data, when scraped, indexed, and utilized activities like web crawling, search engine indexing, and, notably, AI model training, often diverges the original intent its contributors. ascent Generative has accentuated concerns surrounding privacy copyright infringement. Regrettably, web's current framework falls...