10,227 research outputs found
Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work
The increasing prevalence of Artificial Intelligence (AI) in safety-critical
contexts such as air-traffic control leads to systems that are practical and
efficient, and to some extent explainable to humans to be trusted and accepted.
The present structured literature analysis examines n = 236 articles on the
requirements for the explainability and acceptance of AI. Results include a
comprehensive review of n = 48 articles on information people need to perceive
an AI as explainable, the information needed to accept an AI, and
representation and interaction methods promoting trust in an AI. Results
indicate that the two main groups of users are developers who require
information about the internal operations of the model and end users who
require information about AI results or behavior. Users' information needs vary
in specificity, complexity, and urgency and must consider context, domain
knowledge, and the user's cognitive resources. The acceptance of AI systems
depends on information about the system's functions and performance, privacy
and ethical considerations, as well as goal-supporting information tailored to
individual preferences and information to establish trust in the system.
Information about the system's limitations and potential failures can increase
acceptance and trust. Trusted interaction methods are human-like, including
natural language, speech, text, and visual representations such as graphs,
charts, and animations. Our results have significant implications for future
human-centric AI systems being developed. Thus, they are suitable as input for
further application-specific investigations of user needs
Evaluation Methodologies in Software Protection Research
Man-at-the-end (MATE) attackers have full control over the system on which
the attacked software runs, and try to break the confidentiality or integrity
of assets embedded in the software. Both companies and malware authors want to
prevent such attacks. This has driven an arms race between attackers and
defenders, resulting in a plethora of different protection and analysis
methods. However, it remains difficult to measure the strength of protections
because MATE attackers can reach their goals in many different ways and a
universally accepted evaluation methodology does not exist. This survey
systematically reviews the evaluation methodologies of papers on obfuscation, a
major class of protections against MATE attacks. For 572 papers, we collected
113 aspects of their evaluation methodologies, ranging from sample set types
and sizes, over sample treatment, to performed measurements. We provide
detailed insights into how the academic state of the art evaluates both the
protections and analyses thereon. In summary, there is a clear need for better
evaluation methodologies. We identify nine challenges for software protection
evaluations, which represent threats to the validity, reproducibility, and
interpretation of research results in the context of MATE attacks
Machine learning and mixed reality for smart aviation: applications and challenges
The aviation industry is a dynamic and ever-evolving sector. As technology advances and becomes more sophisticated, the aviation industry must keep up with the changing trends. While some airlines have made investments in machine learning and mixed reality technologies, the vast majority of regional airlines continue to rely on inefficient strategies and lack digital applications. This paper investigates the state-of-the-art applications that integrate machine learning and mixed reality into the aviation industry. Smart aerospace engineering design, manufacturing, testing, and services are being explored to increase operator productivity. Autonomous systems, self-service systems, and data visualization systems are being researched to enhance passenger experience. This paper investigate safety, environmental, technological, cost, security, capacity, and regulatory challenges of smart aviation, as well as potential solutions to ensure future quality, reliability, and efficiency
Fairness Testing: A Comprehensive Survey and Analysis of Trends
Unfair behaviors of Machine Learning (ML) software have garnered increasing
attention and concern among software engineers. To tackle this issue, extensive
research has been dedicated to conducting fairness testing of ML software, and
this paper offers a comprehensive survey of existing studies in this field. We
collect 100 papers and organize them based on the testing workflow (i.e., how
to test) and testing components (i.e., what to test). Furthermore, we analyze
the research focus, trends, and promising directions in the realm of fairness
testing. We also identify widely-adopted datasets and open-source tools for
fairness testing
CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society
The rapid advancement of conversational and chat-based language models has
led to remarkable progress in complex task-solving. However, their success
heavily relies on human input to guide the conversation, which can be
challenging and time-consuming. This paper explores the potential of building
scalable techniques to facilitate autonomous cooperation among communicative
agents and provide insight into their "cognitive" processes. To address the
challenges of achieving autonomous cooperation, we propose a novel
communicative agent framework named role-playing. Our approach involves using
inception prompting to guide chat agents toward task completion while
maintaining consistency with human intentions. We showcase how role-playing can
be used to generate conversational data for studying the behaviors and
capabilities of chat agents, providing a valuable resource for investigating
conversational language models. Our contributions include introducing a novel
communicative agent framework, offering a scalable approach for studying the
cooperative behaviors and capabilities of multi-agent systems, and
open-sourcing our library to support research on communicative agents and
beyond. The GitHub repository of this project is made publicly available on:
https://github.com/lightaime/camel
Intelligent architecture to support second generation general accounting
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementThis study aimed to innovate the world of accounting software. After so many years, accountants are faced
with an unbelievable amount of work, which is not always productive, effective and efficient for both the
accountant and the company that provided him with the data required to carry out the accounting. There is
already accounting software with various automation processes, from ornamentation to profitability analysis
and management reporting. There is also software that is updated in accordance with the accounting laws,
i.e., the platform changes its mechanisms according to the changes in the law.
Despite the existence of this software, manual work remains, and the amount of information accountants are
faced with is still very large. It is difficult for accountants to do a 100% reliable job with so much information
and data they have. One of the most common situations in the accounting world is undoubtedly the
miscalculation or forgetting of some financial or non-financial data found in accounting operations (income
statements, balance sheets, etc.). To render accounting operations efficient, effective and productive, errorfree
and 100% reliable, an intelligent architecture has been developed to support second generation general
accounting. This architectural design was developed with a view to make the existing software smarter with
the help of artificial intelligence.
A study was carried out on accounting keys and concepts, on AI and main process automation techniques to
build the model. With these studies it was intended to acquire all possible requirements for the creation of the
architecture. Towards the end of the thesis the model was validated
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Can I Get a Witness?—Living While Black Death is Trending
It is not uncommon for graphic scenes of violence and death to infiltrate our timelinesfrom retweets, reposts, and shares. I often question how much control do we really have over the images that enter our feed? In what ways are we affected and influenced by these images? How do we relate to these images and video clips that are played and replayed before us? In what ways are these images evoking or are related to past scenes of racist violence? In what ways are these racially violent moments captured in photos and videos and shared online speaking to a Black consciousness?
This project comparatively researches and examines the relationship between past modes and methods of Black trauma curation in the past, to contemporary modes of dissemination on social media in order to argue that contemporary uses of spaces such as Instagram, Facebook, and Twitter serve as an extension of previous scrapbooking methods. By comparing The Emmet Till Generation and their curation of trauma via scrapbooks which were used to galvanize social movements, and impact organizing efforts of the youth, The Trayvon Generation today uses social media in a similar fashion; to bear witness, to organize, and to curate digital memorials for the dead. Witnessing is further extended and complicated on digital platforms, providing an abundance of visual evidence that has proven to be vital in leading tp prosecutions and arrests of violent state officials, and perpetrators of extrajudicial violence.
These live or recorded moments of witnessing are used not only as evidence, but to inform the public. However, we have always known that it’s always happening somewhere, even if we aren’t around to witness it. With that said, what are the effects of having the duty, and the responsibility to bear witness? Paying particular attention to Black youth, this project examines their presence and usage of social media spaces. By analyzing young Black people’s use of social media platforms in relation to Darnella Frazier’s strategic use Facebook, this project examines how Black youth and witnessing is currently driving a cultural shift in entertainment media that highlights witnessing death as a significant milestone for Black youth that marks the transition between childhood and adulthood. It is also impacting entertainment media that is not marketed towards Black people, further highlighting Black witnessing of racialized violence at the intersection of technology as both a contemporary and future issue through its inclusion in contemporary media.Witnessing for Black people is framed as being both necessary and traumatic.
This project concludes with an in depth examination of speculative media to reveal the implications of both the present and the future intersections of race relations, state violence and technology. Through analyses of interviews, image circulation and dissemination, magazine articles, social media platforms, visual and speculative media, this dissertation works to address and attempts to answer the aforementioned questions
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
The Metaverse offers a second world beyond reality, where boundaries are
non-existent, and possibilities are endless through engagement and immersive
experiences using the virtual reality (VR) technology. Many disciplines can
benefit from the advancement of the Metaverse when accurately developed,
including the fields of technology, gaming, education, art, and culture.
Nevertheless, developing the Metaverse environment to its full potential is an
ambiguous task that needs proper guidance and directions. Existing surveys on
the Metaverse focus only on a specific aspect and discipline of the Metaverse
and lack a holistic view of the entire process. To this end, a more holistic,
multi-disciplinary, in-depth, and academic and industry-oriented review is
required to provide a thorough study of the Metaverse development pipeline. To
address these issues, we present in this survey a novel multi-layered pipeline
ecosystem composed of (1) the Metaverse computing, networking, communications
and hardware infrastructure, (2) environment digitization, and (3) user
interactions. For every layer, we discuss the components that detail the steps
of its development. Also, for each of these components, we examine the impact
of a set of enabling technologies and empowering domains (e.g., Artificial
Intelligence, Security & Privacy, Blockchain, Business, Ethics, and Social) on
its advancement. In addition, we explain the importance of these technologies
to support decentralization, interoperability, user experiences, interactions,
and monetization. Our presented study highlights the existing challenges for
each component, followed by research directions and potential solutions. To the
best of our knowledge, this survey is the most comprehensive and allows users,
scholars, and entrepreneurs to get an in-depth understanding of the Metaverse
ecosystem to find their opportunities and potentials for contribution
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era
OpenAI has recently released GPT-4 (a.k.a. ChatGPT plus), which is
demonstrated to be one small step for generative AI (GAI), but one giant leap
for artificial general intelligence (AGI). Since its official release in
November 2022, ChatGPT has quickly attracted numerous users with extensive
media coverage. Such unprecedented attention has also motivated numerous
researchers to investigate ChatGPT from various aspects. According to Google
scholar, there are more than 500 articles with ChatGPT in their titles or
mentioning it in their abstracts. Considering this, a review is urgently
needed, and our work fills this gap. Overall, this work is the first to survey
ChatGPT with a comprehensive review of its underlying technology, applications,
and challenges. Moreover, we present an outlook on how ChatGPT might evolve to
realize general-purpose AIGC (a.k.a. AI-generated content), which will be a
significant milestone for the development of AGI.Comment: A Survey on ChatGPT and GPT-4, 29 pages. Feedback is appreciated
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