Results for 'ChatGPT'

57 found
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  1. ChatGPT.Andrej Poleev - 2023 - Enzymes 21.
    As testing of ChatGPT has shown, this form of artificial intelligence has the potential to develop, which requires improving its software and other hardware that allows it to learn, i.e., to acquire and use new knowledge, to contact its developers with suggestions for improvement, or to reprogram itself without their participation. Как показало тестирование ChatGPT, эта форма искусственного интеллекта имеет потенциал развития, для чего необходимо усовершенствовать её программное и прочее техническое обеспечение, позволяющее ей учиться, т.е. приобретать и использовать (...)
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  2. ChatGPT and the Technology-Education Tension: Applying Contextual Virtue Epistemology to a Cognitive Artifact.Guido Cassinadri - 2024 - Philosophy and Technology 37 (14):1-28.
    According to virtue epistemology, the main aim of education is the development of the cognitive character of students (Pritchard, 2014, 2016). Given the proliferation of technological tools such as ChatGPT and other LLMs for solving cognitive tasks, how should educational practices incorporate the use of such tools without undermining the cognitive character of students? Pritchard (2014, 2016) argues that it is possible to properly solve this ‘technology-education tension’ (TET) by combining the virtue epistemology framework with the theory of extended (...)
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  3. ChatGPT: Not Intelligent.Barry Smith - 2023 - Ai: From Robotics to Philosophy the Intelligent Robots of the Future – or Human Evolutionary Development Based on Ai Foundations.
    In our book, Why Machines Will Never Rule the World, Jobst Landgrebe and I argue that we can engineer machines that can emulate the behaviours only of simple systems, which means: only of those systems whose behaviour we can predict mathematically. The human brain is an example of a complex system, and thus its behaviour cannot be emulated by a machine. We use this argument to debunk the claims of those who believe that large language models are poised to achieve (...)
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  4. ChatGPT, The CUPID Model, and Low-Stakes Writing.Casey Landers - forthcoming - Aapt Studies in Pedagogy.
    Educators are increasingly concerned with the use of artificial intelligence (AI) in student writing. Much of the concern focuses on the issue of students using ChatGPT to complete their work. I introduce the CUPID model for instructors to use when thinking about how to pedagogically handle ChatGPT. The CUPID model lays out five general approaches: Catch, Utilize, Prevent, Ignore, and Disincentivize. I suggest that instructors should especially consider using certain assignments that fall under the approach “Disincentivize”. Philosophy instructors (...)
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  5. Hallucinating ChatGPT and the innocent lawyer.Kaito Shimoura & Tam-Tri Le - 2023 - Sm3D Science Portal.
    Schwartz and his team believed ChatGPT’s answers without putting in their effort to manually check. As a result, Schwartz not only had to face a court hearing and put his career on the line but also became the target of ridicule all over the Internet.
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  6. ChatGPT and Emotional Outsourcing.Kelly Weirich - 2023 - The Prindle Post.
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  7. ChatGPT: towards AI subjectivity.Kristian D’Amato - 2024 - AI and Society 39:1-15.
    Motivated by the question of responsible AI and value alignment, I seek to offer a uniquely Foucauldian reconstruction of the problem as the emergence of an ethical subject in a disciplinary setting. This reconstruction contrasts with the strictly human-oriented programme typical to current scholarship that often views technology in instrumental terms. With this in mind, I problematise the concept of a technological subjectivity through an exploration of various aspects of ChatGPT in light of Foucault’s work, arguing that current systems (...)
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  8.  77
    Reading Law with ChatGPT (With Special Emphasis on Contextual Canons).Varol Akman - manuscript
    We study the performance of ChatGPT interpreting prompts that require legal expertise to answer. Our inputs are very close adaptations from the "Contextual Canons" section of Scalia and Garner's Reading Law: The Interpretation of Legal Texts (Thomson West: 2012). We report our findings for the entire section (comprising 14 canons) of the book. We conclude that ChatGPT is exceptionally successful in taking the contextual canons into account.
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  9. Embracing ChatGPT and other generative AI tools in higher education: The importance of fostering trust and responsible use in teaching and learning.Jonathan Y. H. Sim - 2023 - Higher Education in Southeast Asia and Beyond.
    Trust is the foundation for learning, and we must not allow ignorance of this new technologies, like Generative AI, to disrupt the relationship between students and educators. As a first step, we need to actively engage with AI tools to better understand how they can help us in our work.
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  10. Revolutionizing Education with ChatGPT: Enhancing Learning Through Conversational AI.Prapasiri Klayklung, Piyawatjana Chocksathaporn, Pongsakorn Limna, Tanpat Kraiwanit & Kris Jangjarat - 2023 - Universal Journal of Educational Research 2 (3):217-225.
    The development of conversational artificial intelligence (AI) has brought about new opportunities for improving the learning experience in education. ChatGPT, a large language model trained on a vast corpus of text, has the potential to revolutionize education by enhancing learning through personalized and interactive conversations. This paper explores the benefits of integrating ChatGPT in education in Thailand. The research strategy employed in this study was qualitative, utilizing in-depth interviews with eight key informants who were selected using purposive sampling. (...)
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  11. We Asked ChatGPT About the Co-Authorship of Artificial Intelligence in Scientific Papers.Ayşe Balat & İlhan Bahşi - 2023 - European Journal of Therapeutics 29 (3):e16-e19.
    Dear Colleagues, -/- A few weeks ago, we published an editorial discussion on whether artificial intelligence applications should be authors of academic articles [1]. We were delighted to receive more than one interesting reply letter to this editorial in a short time [2, 3]. We hope that opinions on this subject will continue to be submitted to our journal. -/- In this editorial, we wanted to publish the answers we received when we asked ChatGPT, one of the artificial intelligence (...)
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  12. Language Writ Large: LLMs, ChatGPT, Grounding, Meaning and Understanding.Stevan Harnad - manuscript
    Apart from what (little) OpenAI may be concealing from us, we all know (roughly) how ChatGPT works (its huge text database, its statistics, its vector representations, and their huge number of parameters, its next-word training, and so on). But none of us can say (hand on heart) that we are not surprised by what ChatGPT has proved to be able to do with these resources. This has even driven some of us to conclude that ChatGPT actually understands. (...)
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  13. Netizens, Academicians, and Information Professionals' Opinions About AI With Special Reference To ChatGPT.Subaveerapandiyan A., A. Vinoth & Neelam Tiwary - 2023 - Library Philosophy and Practice (E-Journal):1-16.
    This study aims to understand the perceptions and opinions of academicians towards ChatGPT-3 by collecting and analyzing social media comments, and a survey was conducted with library and information science professionals. The research uses a content analysis method and finds that while ChatGPT-3 can be a valuable tool for research and writing, it is not 100% accurate and should be cross-checked. The study also finds that while some academicians may not accept ChatGPT-3, most are starting to accept (...)
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  14.  46
    Writing with ChatGPT.Ricky Mouser - 2024 - Teaching Philosophy 47 (2):173-191.
    Many instructors see the use of LLMs like ChatGPT on course assignments as a straightforward case of cheating, and try hard to prevent their students from doing so by including new warnings of consequences on their syllabi, turning to iffy plagiarism detectors, or scheduling exams to occur in-class. And the use of LLMs probably is cheating, given the sorts of assignments we are used to giving and the sorts of skills we take ourselves to be instilling in our students. (...)
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  15. Sono solo parole ChatGPT: anatomia e raccomandazioni per l’uso.Tommaso Caselli, Antonio Lieto, Malvina Nissim & Viviana Patti - 2023 - Sistemi Intelligenti 4:1-10.
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  16. Telepresence as a social-historical mode of being. ChatGPT and the ontological dimensions of digital representation.Alexandros Schismenos - 2024 - Lessico di Etica Pubblica (1-2/2023):37-52.
    Nel 1956, in piena guerra fredda, una conferenza di scienziati al Dartmouth College negli Stati Uniti annunciò il lancio di un audace progetto scientifico, l’Intelligenza Artificiale (I.A.). Dopo l’iniziale fallimento degli sforzi della “Hard AI” di produrre un’intelligenza simile a quella umana, alla fine del XX secolo è emerso il movimento della “Soft AI”. Invece di essere orientato a imitare il comportamento umano in relazione a compiti specifici, ha preferito cercare modi alternativi di eseguire i compiti basati sulle particolari funzioni (...)
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  17. Consciousness and ChatGPT.Keith Elkin - manuscript
    Our attempts at simulating the mind’s skills is based on our own just-so-stories -/- Our attempts at simulating the human mind’s skills are based on our own just-so-stories. These are creative narratives that are produced by our imaginative mind. The brain does not and cannot tell us how it works; it can only produce a belief, a narrative, or a just-so-story.
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  18. Prompting Metalinguistic Awareness in Large Language Models: ChatGPT and Bias Effects on the Grammar of Italian and Italian Varieties.Angelapia Massaro & Giuseppe Samo - 2023 - Verbum 14.
    We explore ChatGPT’s handling of left-peripheral phenomena in Italian and Italian varieties through prompt engineering to investigate 1) forms of syntactic bias in the model, 2) the model’s metalinguistic awareness in relation to reorderings of canonical clauses (e.g., Topics) and certain grammatical categories (object clitics). A further question concerns the content of the model’s sources of training data: how are minor languages included in the model’s training? The results of our investigation show that 1) the model seems to be (...)
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  19.  88
    A Dialogue on the Existence and Nature of God with ChatGPT.Richard Oxenberg - manuscript
    This work is the transcript of a theological dialogue I had with ChatGPT that spanned a couple of days. I began it merely out of curiosity over how ChatGPT might respond to questions and challenges I posed. As it progressed, I became increasingly impressed with the nuance, depth, and relevance of its responses. The dialogue became, for me, something of a contemplative exercise. I still don’t know quite how to understand the ability of generative A.I. to respond with (...)
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  20.  74
    On Fostering Responsible and Rigorous Learning with ChatGPT.Jonathan Y. H. Sim - 2023 - Teaching Connections.
    We are pleased to feature a video interview with Jonathan Sim, where he shares his ongoing journey of integrating artificial intelligence (AI) in his teaching, the challenges encountered along the way, and what educators can do to get their students to meaningfully engage with AI tools like ChatGPT to enhance their learning.
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  21. What are we going to do about ChatGPT?Nathan Nobis - 2023 - Morehouse College Faculty Blog.
    What are we going to do about ChatGPT? Some philosophical reflections and arguments in general opposition to students using ChatGPT.
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  22. Artificial Intelligence Implications for Academic Cheating: Expanding the Dimensions of Responsible Human-AI Collaboration with ChatGPT.Jo Ann Oravec - 2023 - Journal of Interactive Learning Research 34 (2).
    Cheating is a growing academic and ethical concern in higher education. This article examines the rise of artificial intelligence (AI) generative chatbots for use in education and provides a review of research literature and relevant scholarship concerning the cheating-related issues involved and their implications for pedagogy. The technological “arms race” that involves cheating-detection system developers versus technology savvy students is attracting increased attention to cheating. AI has added new dimensions to academic cheating challenges as students (as well as faculty and (...)
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  23.  83
    Commentary: I am a teacher and I let my students use ChatGPT.Jonathan Y. H. Sim - 2023 - Channel News Asia.
    As educators, we often ask if our students are ready for the future, but how often do we ask ourselves if we educators are ready for the future?
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  24. Does AI Make It Impossible to Write an 'Original' Sentence (Is it Fair to Mechanically Test Originality).William M. Goodman - 2023 - The Toronto Star 2023 (September 28):A19.
    As a retired professor, I join in the growing concerns among educators, and others, about plagiarism, especially now that AI tools like ChatGPT are so readily available. However, I feel more caution is needed, regarding temptations to rely on supposed automatic detection tools, like Turnitin, to solve the problems. Students can be unfairly accused if such tools are used unreflectingly. The Toronto Star's online version of this published Op Ed is available at the link shown below. The version attached (...)
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  25. Might text-davinci-003 have inner speech?Stephen Francis Mann & Daniel Gregory - 2024 - Think 23 (67):31-38.
    In November 2022, OpenAI released ChatGPT, an incredibly sophisticated chatbot. Its capability is astonishing: as well as conversing with human interlocutors, it can answer questions about history, explain almost anything you might think to ask it, and write poetry. This level of achievement has provoked interest in questions about whether a chatbot might have something similar to human intelligence or even consciousness. Given that the function of a chatbot is to process linguistic input and produce linguistic output, we consider (...)
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  26. Large Language Models and Biorisk.William D’Alessandro, Harry R. Lloyd & Nathaniel Sharadin - 2023 - American Journal of Bioethics 23 (10):115-118.
    We discuss potential biorisks from large language models (LLMs). AI assistants based on LLMs such as ChatGPT have been shown to significantly reduce barriers to entry for actors wishing to synthesize dangerous, potentially novel pathogens and chemical weapons. The harms from deploying such bioagents could be further magnified by AI-assisted misinformation. We endorse several policy responses to these dangers, including prerelease evaluations of biomedical AIs by subject-matter experts, enhanced surveillance and lab screening procedures, restrictions on AI training data, and (...)
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  27. PROSPECTS OF USING GPT CHAT IN MARKETING.Oleksandr P. Krupskyi, Valeriia Vorobiova & Yuliya Stasiuk - 2023 - Time Description of Economic Reforms 3 (51):89-97.
    Problem statement. Modern marketing requires effective tools to attract and retain customers, as well as improve communication with the audience. In this context, the use of artificial intelligence, in particular, ChatGPT (Generative Pre-trained Transformer), can be a promising innovative solution. However, the conclusions about the potential benefits and limitations of using ChatGPT in marketing are ambiguous, due to the little experience gained in this area. The purpose of the study is to assess the potential of using ChatGPT (...)
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  28. Philosophizing with AI: happiness.Daniel Durante - manuscript
    A few years ago, I wrote a short text illustrating a problematic situation regarding the judgment of whether a particular fictional person, Bento, led a happy life or not. I frequently use this text in my introductory classes as a didactic resource to explain the nature of philosophy, its role in our understanding of the world, and to demonstrate its main challenge: the aporetic nature of philosophical questions. These questions do not yield unanimous or incontrovertible solutions; they always demand choice (...)
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  29. Chatting with Chat(GPT-4): Quid est Understanding?Elan Moritz - manuscript
    What is Understanding? This is the first of a series of Chats with OpenAI’s ChatGPT (Chat). The main goal is to obtain Chat’s response to a series of questions about the concept of ’understand- ing’. The approach is a conversational approach where the author (labeled as user) asks (prompts) Chat, obtains a response, and then uses the response to formulate followup questions. David Deutsch’s assertion of the primality of the process / capability of understanding is used as the starting (...)
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  30. Where there’s no will, there’s no way.Alex Thomson, Jobst Landgrebe & Barry Smith - 2023 - Ukcolumn.
    An interview by Alex Thomson of UKColumn on Landgrebe and Smith's book: Why Machines Will Never Rule the World. The subtitle of the book is Artificial Intelligence Without Fear, and the interview begins with the question of the supposedly imminent takeover of one profession or the other by artificial intelligence. Is there truly reason to be afraid that you will lose your job? The interview itself is titled 'Where this is no will there is no way', drawing on one thesis (...)
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  31. May Artificial Intelligence Be a Co-Author on an Academic Paper?Ayşe Balat & İlhan Bahşi - 2023 - European Journal of Therapeutics 29 (3):e12-e13.
    Dear Colleagues, -/- Recently, for an article submitted to the European Journal of Therapeutics, it was reported that the paper may have been written with artificial intelligence support at a rate of more than 50% in the preliminary examination made with Turnitin. However, the authors did not mention this in the article’s material method or explanations section. Fortunately, the article’s out-of-date content and fundamental errors in its methodology allowed us no difficulty making the desk rejection decision. -/- On the other (...)
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  32. Diagonalization & Forcing FLEX: From Cantor to Cohen and Beyond. Learning from Leibniz, Cantor, Turing, Gödel, and Cohen; crawling towards AGI.Elan Moritz - manuscript
    The paper continues my earlier Chat with OpenAI’s ChatGPT with a Focused LLM Experiment (FLEX). The idea is to conduct Large Language Model (LLM) based explorations of certain areas or concepts. The approach is based on crafting initial guiding prompts and then follow up with user prompts based on the LLMs’ responses. The goals include improving understanding of LLM capabilities and their limitations culminating in optimized prompts. The specific subjects explored as research subject matter include a) diagonalization techniques as (...)
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  33. The Rising Tide of Artificial Intelligence in Scientific Journals: A Profound Shift in Research Landscape.Ricardo Grillo - 2023 - European Journal of Therapeutics 29 (3):686-688.
    Dear Editors, -/- I found the content of your editorials to be highly intriguing [1,2]. Scientific journals are witnessing a growing prevalence of publications related to artificial intelligence (AI). Three letters to the editor were recently published in your journal [3-5]. The renowned journal Nature has dedicated approximately 25 publications solely to the subject of ChatGPT. Moreover, a quick search on Pubmed using the term "ChatGPT" yields around 900 articles, with the vast majority originating in 2023. These statistics (...)
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  34. Filosofando com a IA: a Felicidade.Daniel Durante - manuscript
    Há alguns anos escrevi um pequeno texto que ilustra uma situação problemática sobre o julgamento de se a vida de uma determinada pessoa fictícia (Bento) foi uma vida feliz ou não. Uso com frequência esse texto em minhas aulas introdutórias, como um recurso didático para explicar o que é a filosofia, qual o seu papel no nosso entendimento do mundo, e também para ilustrar a sua principal dificuldade, que é o caráter aporético das questões filosóficas: elas não admitem soluções unânimes (...)
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  35. Chatbots shouldn’t use emojis.Carissa Véliz - 2023 - Nature 615:375.
    Limits need to be set on AI’s ability to simulate human feelings. Ensuring that chatbots don’t use emotive language, including emojis, would be a good start. Emojis are particularly manipulative. Humans instinctively respond to shapes that look like faces — even cartoonish or schematic ones — and emojis can induce these reactions.
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  36.  36
    MEMINTA CHATBASE UNTUK MEMPELAJARI TENTANG RETRAKSI AKADEMIK.Sari Ni Putu Wulan Purnama & Aisdl Team - unknown
    Pada percobaan kedua ini, kami memperbarui data untuk chatbot yang disediakan di [1] dengan mengunggah artikel baru [2] ke server Chatbase untuk pembelajaran. Kami masih ingin mengeksplorasi keterampilan pemahaman bacaan Chatbase serta kemampuannya dalam menyampaikan konten yang diringkas atau diekstraksi secara khusus dari artikel yang disediakan [2]. Selain itu, dalam perintah yang kami berikan kepada Chatbase mengenai konten [2], kami mencoba mempelajari apakah kecerdasan buatan dapat menghubungkan konten yang dibaca dengan prinsip-prinsip yang tecantum di [3-4]. Kami menyediakan percakapan rinci dengan (...)
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  37. الفلسفة وتعويذة الجي بي تي.Salah Osman - manuscript
    لم نعد بحاجة إلى فانوس سحري نمسح عليه بأصابعنا لكي يخرج منه المارد القادر على خدمتنا وتلبية بعض أهم مطالبنا الحياتية، ولم نعد بحاجة إلى تعويذات نلج بها في عالم السحر والخيال؛ لقد خرج المارد بالفعل من قمقمه الحاسوبي؛ من جوف مختبرات البرمجة والذكاء الاصطناعي، بتعويذات (أكواد) رياضية رمزية سرعان ما تمكن من التهامها وهضمها، ليبيت قادرًا على إنتاج تعويذات أخرى مماثلة، وربما أفضل منها! خرج «المُحول التوليدي المدرب مُسبقًا»، المعروف اختصارًا باسم «جي بي تي»، ملوحًا بإمكانات بحثية وخدمية وإنتاجية (...)
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  38.  50
    The Hazards of Putting Ethics on Autopilot.Julian Friedland, B. Balkin, David & Kristian Myrseth - 2024 - MIT Sloan Management Review 65 (4).
    The generative AI boom is unleashing its minions. Enterprise software vendors have rolled out legions of automated assistants that use large language model (LLM) technology, such as ChatGPT, to offer users helpful suggestions or to execute simple tasks. These so-called copilots and chatbots can increase productivity and automate tedious manual work. In this article, we explain how that leads to the risk that users' ethical competence may degrade over time — and what to do about it.
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  39. Are we at the start of the artificial intelligence era in academic publishing?Quan-Hoang Vuong, Viet-Phuong La, Minh-Hoang Nguyen, Ruining Jin & Tam-Tri Le - 2023 - Science Editing 10 (2):1-7.
    Machine-based automation has long been a key factor in the modern era. However, lately, many people have been shocked by artificial intelligence (AI) applications, such as ChatGPT (OpenAI), that can perform tasks previously thought to be human-exclusive. With recent advances in natural language processing (NLP) technologies, AI can generate written content that is similar to human-made products, and this ability has a variety of applications. As the technology of large language models continues to progress by making use of colossal (...)
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  40. Chatting with Chatbase over the rationality issue of the cost of science.Aisdl Team - 2023 - Sm3D Science Portal.
    In this article, we present the outcome of our first experiment with Chatbase, a chatbot built on chatGPT’s functioning model(s). Our idea is to try instructing Chatbase to perform a reading, digesting, and summarizing task for a specifically formatted academic document.
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  41. Generative AI and the value changes and conflicts in its integration in Japanese educational system.Ngoc-Thang B. Le, Phuong-Thao Luu & Manh-Tung Ho - manuscript
    This paper critically examines Japan's approach toward the adoption of Generative AI such as ChatGPT in education via studying media discourse and guidelines at both the national as well as local levels. It highlights the lack of consideration for socio-cultural characteristics inherent in the Japanese educational systems, such as the notion of self, teachers’ work ethics, community-centric activities for the successful adoption of the technology. We reveal ChatGPT’s infusion is likely to further accelerate the shift away from traditional (...)
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  42. A phenomenology and epistemology of large language models: Transparency, trust, and trustworthiness.Richard Heersmink, Barend de Rooij, María Jimena Clavel Vázquez & Matteo Colombo - forthcoming - Ethics and Information Technology.
    This paper analyses the phenomenology and epistemology of chatbots such as ChatGPT and Bard. The computational architecture underpinning these chatbots are large language models (LLMs), which are generative AI (Artificial Intelligence) systems trained on a massive dataset of text extracted from the Web. We conceptualise these LLMs as multifunctional computational cognitive artifacts, used for various cognitive tasks such as translating, summarizing, answering questions, information-seeking, and much more. Phenomenologically, LLMs can be experienced as a “quasi-other”; when that happens, users anthropomorphise (...)
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  43. “Large Language Models” Do Much More than Just Language: Some Bioethical Implications of Multi-Modal AI.Joshua August Skorburg, Kristina L. Kupferschmidt & Graham W. Taylor - 2023 - American Journal of Bioethics 23 (10):110-113.
    Cohen (2023) takes a fair and measured approach to the question of what ChatGPT means for bioethics. The hype cycles around AI often obscure the fact that ethicists have developed robust frameworks...
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  44. Escape climate apathy by harnessing the power of generative AI.Quan-Hoang Vuong & Manh-Tung Ho - 2024 - AI and Society 39:1-2.
    “Throw away anything that sounds too complicated. Only keep what is simple to grasp...If the information appears fuzzy and causes the brain to implode after two sentences, toss it away and stop listening. Doing so will make the news as orderly and simple to understand as the truth.” - In “GHG emissions,” The Kingfisher Story Collection, (Vuong 2022a).
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  45. Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity.Claudio Novelli, Federico Casolari, Philipp Hacker, Giorgio Spedicato & Luciano Floridi - manuscript
    The advent of Generative AI, particularly through Large Language Models (LLMs) like ChatGPT and its successors, marks a paradigm shift in the AI landscape. Advanced LLMs exhibit multimodality, handling diverse data formats, thereby broadening their application scope. However, the complexity and emergent autonomy of these models introduce challenges in predictability and legal compliance. This paper analyses the legal and regulatory implications of Generative AI and LLMs in the European Union context, focusing on liability, privacy, intellectual property, and cybersecurity. It (...)
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  46. Humans in the meta-human era (Meta-philosophical analysis).Spyridon Kakos - 2023 - Harmonia Philosophica Papers.
    Humans are obsolete. In the post-ChatGPT era, artificial intelligence systems have replaced us in the last sectors of life that we thought were our personal kingdom. Yet, humans still have a place in this life. But they can find it only if they forget all those things that we believe make us unique. Only if we go back to doing nothing, can we truly be alive and meet our Self. Only if we stop thinking can we accept the Cosmos (...)
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  47. A Talking Cure for Autonomy Traps : How to share our social world with chatbots.Regina Rini - manuscript
    Large Language Models (LLMs) like ChatGPT were trained on human conversation, but in the future they will also train us. As chatbots speak from our smartphones and customer service helplines, they will become a part of everyday life and a growing share of all the conversations we ever have. It’s hard to doubt this will have some effect on us. Here I explore a specific concern about the impact of artificial conversation on our capacity to deliberate and hold ourselves (...)
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  48. At Noon: (Post)Nihilistic Temporalities in The Age of Machine-Learning Algorithms That Speak.Talha Issevenler - 2023 - The Agonist : A Nietzsche Circle Journal 17 (2):63–72.
    This article recapitulates and develops the attempts in the Nietzschean traditions to address and overcome the proliferation of nihilism that Nietzsche predicted to unfold in the next 200 years (WP 2). Nietzsche approached nihilism not merely as a psychology but as a labyrinthic and pervasive historical process whereby the highest values of culture and founding assumptions of philosophical thought prevented the further flourishing of life. Therefore, he thought nihilism had to be encountered and experienced on many, often opposing, fronts to (...)
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  49.  11
    In Our Own Image: What the Quest for Artificial General Intelligence Can Teach Us About Being Human.Janna Hastings - 2024 - Cosmos+Taxis 12 (5+6):1-4.
    In August 2022, only a few months before ChatGPT was released, Barry Smith, well-known contemporary philosopher, together with Jobst Landgrebe, artificial intelligence entrepreneur, published a book entitled Why Machines will Never Rule the World: Artificial Intelligence without Fear (Landgrebe and Smith 2022). In this important, dense and far-reaching work, Landgrebe and Smith argue from the mathematical theory of complex systems, and a sophisticated analysis of the capabilities of human intelligence, that AGI— at the level of human intelligence—will never be (...)
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  50. Epistemic considerations when AI answers questions for us.Johan F. Hoorn & Juliet J.-Y. Chen - manuscript
    In this position paper, we argue that careless reliance on AI to answer our questions and to judge our output is a violation of Grice’s Maxim of Quality as well as a violation of Lemoine’s legal Maxim of Innocence, performing an (unwarranted) authority fallacy, and while lacking assessment signals, committing Type II errors that result from fallacies of the inverse. What is missing in the focus on output and results of AI-generated and AI-evaluated content is, apart from paying proper tribute, (...)
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