Neuroenhancement involves the use of neurotechnologies to improve cognitive, affective or behavioural functioning, where these are not judged to be clinically impaired. Questions about enhancement have become one of the key topics of neuroethics over the past decade. The current study draws on in-depth public engagement activities in ten European countries giving a bottom-up perspective on the ethics and desirability of enhancement. This informed the design of an online contrastive vignette experiment that was administered to representative samples of 1000 respondents (...) in the ten countries and the United States. The experiment investigated how the gender of the protagonist, his or her level of performance, the efficacy of the enhancer and the mode of enhancement affected support for neuroenhancement in both educational and employment contexts. Of these, higher efficacy and lower performance were found to increase willingness to support enhancement. A series of commonly articulated claims about the individual and societal dimensions of neuroenhancement were derived from the public engagement activities. Underlying these claims, multivariate analysis identified two social values. The Societal/Protective highlights counter normative consequences and opposes the use enhancers. The Individual/Proactionary highlights opportunities and supports use. For most respondents these values are not mutually exclusive. This suggests that for many neuroenhancement is viewed simultaneously as a source of both promise and concern. (shrink)

Whereas there is extensive documentation that attribute framing influences the content of peoples thought, we generally know less about how it affects the processes assumed to precede those thoughts. While existing explanations for attribute framing effects rely completely on valence-based associative processing, the results obtained in the present study are also consistent with the notion that negative framing stimulates more effortful and thorough information processing than positive framing. Specifically, results from a simulated business decision-making experiment showed that decision makers receiving (...) negatively framed information had significantly better recall than those receiving positively framed information. Furthermore, decision makers in the negative framing condition were less confident than decision makers in the positively framed condition. Finally, compared to a no-framing condition, decision makers receiving positive framing deviated significantly more in evaluation than decision makers receiving negative framing did. (shrink)

The article discusses the ethical issues surrounding the use of artificial intelligence (AI) tools in writing scholarly manuscripts. The authors argue that there is a need for transparency and disclosure when using AI tools, as these tools can have a significant impact on the content of a manuscript. They also argue that the use of AI tools should not be used to circumvent authorship requirements or to plagiarize the work of others.

Crowdfunding is a way to fund a project by pooling incremental investments from a large number of funders. This can be a great way to fund OA publications, especially for projects that lack traditional funding sources.

I have read the article "Retract or be damned: a dangerous moment for science and the public" by Kamran Abbasi. The article discusses the growing problem of retractions in scientific literature, and argues that this is a threat to the integrity of science and the public's trust in science.

It is important to note that these are just two perspectives on the issue. There are many other factors to consider, and it is likely that the impact of AI on writers will vary depending on the specific circumstances.

In the present study it was shown that decision heuristics and confidence judgements play important roles in the building of preferences. Based on a dual-process account of thinking, the study compared people who did well versus poorly on a series of decision heuristics and overconfidence judgement tasks. The two groups were found to differ with regard to their information search behaviour in introduced multiattribute choice tasks. High performers on the judgemental tasks were less influenced in their decision processes by numerical (...) information format (probabilities vs. frequencies) compared to low performers. They also looked at more attributes and spent more time on the multiattribute choice tasks. The results reveal that performance on decision heuristics and overconfidence tasks has a bearing both on heuristic and analytic processes in multiattribute decision making. (shrink)

Rapid advances in genome editing and its potential application in medicine and enhancement have been hotly debated by scientists and ethicists. Although it has been proposed that germline gene editing be discouraged for the time being1, the use of gene editing in somatic human cells in the clinical context remains controversial, particularly for interventions aimed at enhancement2. In a report on human genome editing, the US National Academies of Sciences, Engineering, and Medicine (NAS; Washington, DC) notes that “important questions raised (...) with respect to genome editing include how to incorporate societal values into salient clinical and policy considerations”3. We report here our research that opens a window onto what the public thinks about these issues. (shrink)

This article evaluates the effects of two types of rewards (performance-contingent versus engagement-contingent) on self-regulation, intrinsic motivation and creativity. Forty-two undergraduate students were randomly assigned to three conditions; i.e. a performance-contingent reward group, an engagement-contingent reward group and a control group. Results provide little support for the negative effects of performance rewards on motivational components. However, they do indicate that participants in the engagement-contingent reward group and the control group achieved higher rated creativity than participants in the performance-contingent reward group. (...) Alternative explanations for this finding are discussed. (shrink)

Neuroenhancement involves the use of neurotechnologies to improve cognitive, affective or behavioural functioning, where these are not judged to be clinically impaired. Questions about enhancement have become one of the key topics of neuroethics over the past decade. The current study draws on in-depth public engagement activities in ten European countries giving a bottom-up perspective on the ethics and desirability of enhancement. This informed the design of an online contrastive vignette experiment that was administered to representative samples of 1000 respondents (...) in the ten countries and the United States. The experiment investigated how the gender of the protagonist, his or her level of performance, the efficacy of the enhancer and the mode of enhancement affected support for neuroenhancement in both educational and employment contexts. Of these, higher efficacy and lower performance were found to increase willingness to support enhancement. A series of commonly articulated claims about the individual and societal dimensions of neuroenhancement were derived from the public engagement activities. Underlying these claims, multivariate analysis identified two social values. The Societal/protective highlights counter normative consequences and opposes the use enhancers. The Individual/proactionary highlights opportunities and supports use. For most respondents these values are not mutually exclusive. This suggests that for many neuroenhancement is viewed simultaneously as a source of both promise and concern. (shrink)

what is retraction? The word "retraction" can have several meanings depending on the context. Here are two of the most common: 1. Taking back a statement or action: This is the most general meaning of retraction. It refers to the act of withdrawing or reversing something that you have previously said or done. For example, if you make a false accusation against someone, you might publicly retract it to set the record straight. Or, if you offer to sell something for (...) a certain price, you might retract the offer if you decide you no longer want to sell it. 2. Withdrawing a published article: In academic publishing, a retraction is a formal notice that a published article is no longer considered to be valid. This can happen for a variety of reasons, such as if the research in the article is found to be flawed, if the authors committed misconduct, or if the article contains plagiarism. When an article is retracted, a notice is usually published in the same journal where the original article appeared, explaining the reason for the retraction. (shrink)

The Plant Ontology (PO) (http://www.plantontology.org) (Jaiswal et al., 2005; Avraham et al., 2008) was designed to facilitate cross-database querying and to foster consistent use of plant-specific terminology in annotation. As new data are generated from the ever-expanding list of plant genome projects, the need for a consistent, cross-taxon vocabulary has grown. To meet this need, the PO is being expanded to represent all plants. This is the first ontology designed to encompass anatomical structures as well as growth and developmental stages (...) across such a broad taxonomic range. While other ontologies such as the Gene Ontology (GO) (The Gene Ontology Consortium, 2010) or Cell Type Ontology (CL) (Bard et al., 2005) cover all living organisms, they are confined to structures at the cellular level and below. The diversity of growth forms and life histories within plants presents a challenge, but also provides unique opportunities to study developmental and evolutionary homology across organisms. (shrink)

The standard of proof in criminal trials in many liberal democracies is proof beyond a reasonable doubt, the BARD standard. It is customary to describe it, when putting a number on it, as requiring that the fact finder be at least 90% certain, after considering the evidence, that the defendant is guilty. Strikingly, no good reason has yet been offered in defense of using that standard. A number of non-consequentialist justifications that aim to support an even higher standard have been (...) offered; all are morally unsound. Meanwhile, consequentialist arguments plausibly support a substantially lower standard — in some cases so low as to undermine the idea that punishment is what is at stake. In this paper, I offer a new retributive justification that supports excluding the instrumental benefits of punishment from the balance that sets the standard. The resulting balance supports a standard arguably in the ballpark of the customary understanding of BARD: a standard requiring that the fact finder have a high, though not maximally high, degree of confidence that the defendant is guilty. (shrink)

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 artificial intelligence (AI) 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 them. (...) For most users, current LLMs are black boxes, i.e., for the most part, they lack data transparency and algorithmic transparency. They can, however, be phenomenologically and informationally transparent, in which case there is an interactional flow. Anthropomorphising and interactional flow can, in some users, create an attitude of (unwarranted) trust towards the output LLMs generate. We conclude this paper by drawing on the epistemology of trust and testimony to examine the epistemic implications of these dimensions. Whilst LLMs generally generate accurate responses, we observe two epistemic pitfalls. Ideally, users should be able to match the level of trust that they place in LLMs to the degree that LLMs are trustworthy. However, both their data and algorithmic opacity and their phenomenological and informational transparency can make it difficult for users to calibrate their trust correctly. The effects of these limitations are twofold: users may adopt unwarranted attitudes of trust towards the outputs of LLMs (which is particularly problematic when LLMs hallucinate), and the trustworthiness of LLMs may be undermined. (shrink)

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 (...) staff) can easily access powerful systems for generating content that can be presented in assignments, exams, or published papers as their own. AI methodology is also providing some emerging anti-cheating approaches, including facial recognition and water- marking. This article provides an overview of human/AI collaboration approaches and frames some educational misuses of such AI generative systems as ChatGPT and Bard as forms of “misattributed co-authorship.” As with other kinds of collaborations, the work that students produce with AI assistance can be presented in transparent and straightforward modes or (unfortunately) in opaquer and ethically-problematic ways. However, rather than just for catching or entrapping students, the emerging varieties of technological cheating-detection strategies can be used to assist students in learning how to document and attribute properly their AI-empowered as well as human-human collaborations. Construing misuses of AI generative systems as misattributed co-authorship can recognize the growing capabilities of these tools and how stressing responsible and mindful usage by students can help prepare them for a highly collaborative, AI-saturated future. (shrink)

In Greek mythology the Muses –patron goddesses of fine arts, history, humanities, and sciences– are tellingly portrayed as the daughters of Zeus and Mnemosyne, the goddess Memory, who is of the race of Titans, older still than Zeus and other Olympian deities. The relationship between memory and such fields as epic poetry, history, music and dance is easily recognizable to moderns. But bards/poets like Homer and Hesiod, who began oral storytelling by “invoking the Muses” with their audience, knew well that (...) remembering, forgetting, and imagining are each to be esteemed as, in Hesiod’s words, “gifts of the goddesses.” The economy of memory is an important concern for moral psychology, philosophy of emotions, and philosophy of imagination. This chapter examines ways that amusements, both classically and today, can function to educate moral emotions in and though their multi-faceted engagements with the economy of memory. (shrink)

This article seeks to explore the different strategies the Bard uses in order to evoke sympathy in the reader for Macbeth who is so persistent in the path of evil. What strategy does Shakespeare use in order to provoke such a deep emotional response from his readers? By using paradoxes in the play, the Bard creates a world of illusion, fear and wild imagination. The paradoxical world in Macbeth startles us into marvel and fear, challenges our commonly held opinions, and (...) reshapes our thought in the process (Platt 8). As the text involves the reader in the formation of illusion and the simultaneous formation of the means whereby the illusion is punctured, “reading reflects the process by which we gain experience. Once the reader is entangled, his own preconceptions are continually overtaken so that the text becomes his present while his own ideas fade into the past. As soon as it happens, he is open to the immediate experience of the text” (Iser, The Implied Reader 290). Mesmerised by Macbeth’s powerful imagination and poetic language, the reader engages in a dialogical interaction with the play and eventually finds light in the murky world of the text. Regardless of Macbeth’s diabolical world, the reader ventures into it, shares it with him and ultimately wakes up from its dizzying stupor. In reading Macbeth, the reader leaves behind the familiar world of his experience in order to participate in the adventure the text offers him. The edifying effect of the tragedy in the end is the reward the reader reaps after eventually waking up from the nightmarish dream of the text. (shrink)

Philosophical reflection on the conditions of knowledge did not begin in a cultural vacuum. Several centuries before the Ionian thinkers began their investigations, the Homeric bards had identified various factors that militate against a secure grasp of the truth. In the words of the ‘second invocation of the Muses’ in Iliad II: “you, goddesses, are present and know all things, whereas we mortals hear only a rumor and know nothing.” Similarly Archilochus: “Of such a sort, Glaucus, son of Leptines, is (...) the mind of mortal man, whatever Zeus may bring him for the day, for he thinks such things as he meets with.” When one adds the truism that the scope of human experience pales in comparison with the synoptic view of events enjoyed by the gods, it follows that for most matters it is for the gods to know and mortals merely to conjecture. Traces of the older ‘poetic pessimism’ can be seen in the teachings of many of the first philosophers. Alcmaeon reaffirms that “while the gods enjoy clear and certain knowledge of all things, mortals must conjecture from signs” (B 1). Although Xenophanes encourages inquiry into a wide range of phenomena, he concludes that “No man has known nor will there be anyone who knows the clear and sure truth concerning the gods and what I say about all things” (B 34). And when philosophers begin to affirm a more optimistic view they often do so in terms that invite comparison with the older outlook. The chief truth Heraclitus claims to have discovered is the logos or ‘basic formula’ which holds everywhere and forever (B 1, 30, 80, and 90). Parmenides provides reason to think that human beings can discover the truth even about things located “far off” (B 4). And both Empedocles and Democritus contrast the inferior awareness of those “who think in terms of what they have met with” with the wisdom available to those who have heard and ponder their teachings (B 131). For these thinkers, separation in space and time—the old ‘locality problem’—no longer posed an impediment to knowledge. -/- . (shrink)

While many of us would not want to abandon the requirement that a defendant can only be found guilty of a serious criminal offence by a unanimous jury, we should not expect epistemology to give us the resources we need for justifying this requirement. The doubts that might prevent jurors from reaching unanimity do not show that, say, the BARD standard has not been met. Even if it were true, as some have suggested, that rationality requires that a jury composed (...) of epistemic peers should coalesce around one view about the defendant’s guilt, the failure to reach unanimity might be a good reason to worry about the epistemic failings of some small number of jurors but no reason to worry that we’ve failed to protect the defendant from an unjustified imposition of, say, the risk against wrongful conviction. The arguments for the unanimity requirement will need to come from outside of epistemology. (shrink)

Wittgenstein's lack of sympathy for Shakespeare's works has been well noted by George Steiner and Harold Bloom among others. Wittgenstein writes in 1950, for instance: "It seems to me as though his pieces are, as it were, enormous sketches, not paintings; as though they were dashed off by someone who could permit himself anything, so to speak. And I understand how someone may admire this & call it supreme art, but I don't like it." Of course, the animosity of one (...) great mind for another has its own interest. But the interest here is increased by two factors: (1) Wittgenstein's brief but specific critique of Shakespeare's similes, of interest particularly since he identifies his own philosophical strength half-deprecatingly but still seriously as one of crafting beautiful similes; and (2) Wittgenstein's and Shakespeare's shared concern, as revealed in Stanley Cavell's writings, with the human impulse to skepticism. The present paper considers the importance of these two factors in weighing Wittgenstein's judgment. It suggests that Wittgenstein's frequent charge that Shakespeare is "completely unrealistic" is not a misunderstanding of the Bard (Wittgenstein distinguishes his "failure to understand" from others' willingness to misunderstand Shakespeare) but rather an expression of Wittgenstein's anxiety over Shakespeare's wholly original use of language to represent the sound of the raw motives to skepticism. (shrink)

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 underscore the (...) substantial interest of the scientific community in this area. -/- AI, especially the ChatGPT tool and the recent Bard, have faced criticism and been portrayed as significant adversaries of science. It is evident that many authors or researchers, who may not be well-versed in writing, can greatly benefit from these tools, as mentioned earlier. Without taking a contrarian stance, one should consider the potential advantages of such technologies for researchers in less privileged regions, where access to new technologies is limited, and local or regional challenges abound [6]. AI cannot be confounded with other technologies, as it specifically focuses on replicating human-like intelligence and decision-making processes, rather than simply automating tasks or improving performance based on data patterns. -/- The translation into English poses challenges due to the dominance of English in worldwide publications, with over 95% of articles being published in this language, and even reaching 98% in some fields. Although this manuscript was partially translated using AI, it can still benefit researchers from non-native English regions. Even simple tasks like text editing can be problematic for researchers in underprivileged areas. AI can play a crucial role in the evolution of online lectures and classes, providing valuable support for African maxillofacial surgeons who lack the luxury of taking breaks from work to update their knowledge, as they may be the only available option [7]. One of the remarkable features of AI is its ability to discover knowledge gaps. The use of simple tools like reference organizers is rapidly evolving and can become automated or semi-automated through AI. However, we must carefully consider whether we should refrain from relying too heavily on AI in certain cases, as this could be seen as a significant regression. -/- On the other hand, we must be cautious about freely allowing AI tools to circulate in scientific journals and books without proper regulation [8]. Currently, accurately identifying texts generated by AI is challenging, and their effectiveness remains relatively low, at less than 30%. This means that only about 30 out of every 100 texts can be confidently classified as AI-generated. The technology must advance further to increase detection accuracy or at least raise suspicion. Academic journals no longer view authors acknowledging artificial intelligence tools as co-authors in their research favorably. This is crucial to prevent certain unscrupulous individuals, such as "false prophets," charlatans, and flat-earthers, from infiltrating the realm of science, potentially impeding the progress of serious research conducted by professionals dedicated to advancing humanity through science. -/- It is essential to keep in mind that AI does not generate anything novel. Human authors can not be fully substituted [9]. In research involving groundbreaking concepts, innovations, case reports, or technical notes, the use of AI tends to be less frequent due to its lack of capability in creating innovative outcomes. On the other hand, reviews, whether narrative, systematic, or scoping, are based on existing publications. To address potential fraudulent practices, editors, reviewers, and journals themselves should exercise greater vigilance and apply more stringent filters for this type of publication. -/- An article from over a decade ago already discussed the professions most susceptible to replacement by computerization [10]. Maxillofacial surgeons, physicians, dentists, and psychologists are among the professions that are less likely to be displaced. This position can be attributed to the significant level of patient-professional interaction, the development of specific manual skills over time, and the ability to make adaptable decisions during procedures. These intricacies pose formidable challenges for AI to grasp, regardless of its level of advancement. -/- We should maintain a composed yet vigilant stance at this juncture. Just as Portuguese navigators feared encountering serpents and sea monsters when they ventured into uncharted waters, the uncertainty and novelty of AI can evoke apprehension in us all. Nonetheless, we must embrace the benefits that AI can offer while imposing strict regulations and appropriate penalties to prevent any potential abuses carried out "in the name of science." -/- Sincerely yours,. (shrink)

Năm 2023, Hindawi đã rút hơn 8,000 bài báo khoa học, nâng tổng số bài báo bị rút trong năm lên hơn 10,000 bài, mức kỷ lục cao nhất từ trước đến nay. Vì thông báo rút bài minh bạch sẽ giúp giảm nhẹ tác động tiêu cực của việc rút bài đối với cộng đồng học thuật và công chúng nói chung, tôi đã sử dụng trí tuệ nhân tạo (Google Bard) để kiểm tra xem các thông tin quan (...) trọng liên quan đến việc rút bài đã được cung cấp hay chưa. (shrink)

In 2023, Hindawi has retracted over 8,000 articles, raising the total retracted papers of the year to more than 10,000 articles, the highest record ever recorded. As transparent retraction notice will help alleviate the negative impacts of retractions on the academia and general public, I used AI (Google Bard) to check whether important information related to the retractions had been provided.

Human civilization is very clearly reaching a point of critical mass when it comes to technology and how it transforms culture and the economics that is therefore driven forward. The conversation around the practical aspects of generative artificial intelligence (Chat GPT, Q Star, Bard, Claude, Genesis, Firefly, and others) and their ethical implications is massively trending. The political conversations around it are slow to catch up but will soon take over once the general public feels their impact, which is likely (...) to happen in the next two to three years. -/- What is not being spoken of is the need for new economic models that can integrate the enormous and continuous shifts in trade that will occur, as we continue to implement more efficient manufacturing and logistics. Things like 3D printing in hub regions, the automation of transportation, augmented and virtual reality, and new creativity-based industries will all disrupt capital markets as well as social systems due to what we could call "meta-scarcity", which is to say, "the scarcity of scarcity"; In effect, we will lack the scarcity to maintain predictive power over the future. This is because when technology is capable of optimizing for creativity, people come up with new demands, and when new demands are supplied as quickly as they arise, no one is capable of knowing what kind of trends the market will take, yet it is necessary to try as public discussion could beneficially shape the economic landscape. (shrink)

In the year 2020, during the global race to combat the coronavirus, the scientific community experienced a seismic shock when a research paper in the medical science journal The Lancet was retracted [1]. Since then, retractions of research papers in The Lancet have become more frequent. This not only raises concerns about the quality of research within the academic community but also has the potential to erode public trust in science. As transparent retraction notice will help alleviate the negative impacts (...) of retractions on the academia and general public, I used AI (Google Bard) to check whether important information related to the retractions had been provided. (shrink)

Vừa rồi, nguyên hiệu trưởng của trường ĐH Stanford, Marc Tessier-Lavigne, đã rút bài nghiên cứu khoa học trên Nature. Đây là một sự kiện ảnh hưởng đến độ tin cậy đối với các nghiên cứu khoa học trong công chúng. Vì thông báo rút bài minh bạch sẽ giúp giảm nhẹ tác động tiêu cực của việc rút bài đối với cộng đồng học thuật và công chúng nói chung, tôi đã sử dụng trí tuệ nhân tạo (Google Bard) (...) để kiểm tra xem các thông tin quan trọng liên quan đến việc rút bài đã được cung cấp hay chưa. (shrink)

The paper proposes a method for approximating surfacing singularities of saddle maps using a sweeping net. The method involves constructing a densified sweeping subnet for each individual vertex of the saddle map, and then combining each subnet to create a complete approximation of the singularities. The authors also define two functions $f_1$ and $f_2$, which are used to calculate the charge density for each subnet. The resulting densified sweeping subnet closely approximates the surfacing saddle map near a circular region.