An academic anthology on Jewish studies and education in memory of dr. Avraham Zalkin.

Views of Sir Muhammad Iqbal, 1877-1938 on education.

In Ai Ssu-ch'i is exemplified and substantiated the Soviet influence on the official definition of philosophy in the history of Communist Party of China, i.e., the assertion about and the method for knowledge of the world. Such a philosophical knowledge has as its formal object the most fundamental laws of the universe.In order to acquire such a genuine philosophical knowledge, one needs a desire to change the world and a proletarian point of view. For only by aiming at changing the (...) world is inevitability reflected; only in the proletarian viewpoint are the objective laws reflected. In order to substantiate these assertions, one has to point out that, first, man's thinking is determined by his social relations and, secondly, social relations are determined by practice. Since the proletariat is in the right kind of practice, it is both in the proper locus of social relations and, therefore, it perceives both inevitability and objectivity. Yet, due to man's subjective dynamism, it is possible for other classes to adopt the standpoint of the proletariat. (shrink)

ChatGPT is an artificial intelligence (AI) chatbot that processes and generates natural language text, offering human-like responses to a wide range of questions and prompts. Five days after its re...

Foundation models such as GPT-4 are fine-tuned to avoid unsafe or otherwise problematic behavior, such as helping to commit crimes or producing racist text. One approach to fine-tuning, called reinforcement learning from human feedback, learns from humans' expressed preferences over multiple outputs. Another approach is constitutional AI, in which the input from humans is a list of high-level principles. But how do we deal with potentially diverging input from humans? How can we aggregate the input into consistent data about "collective" (...) preferences or otherwise use it to make collective choices about model behavior? In this paper, we argue that the field of social choice is well positioned to address these questions, and we discuss ways forward for this agenda, drawing on discussions in a recent workshop on Social Choice for AI Ethics and Safety held in Berkeley, CA, USA in December 2023. (shrink)

Nowadays, mobile telephony interruptions in our daily life activities are common because of the inappropriate ringing notifications of incoming phone calls in different contexts. Such interruptions may impact on the work attention not only for the mobile phone owners, but also for the surrounding people. Decision tree is the most popular machine-learning classification technique that is used in existing context-aware mobile intelligent interruption management model to overcome such issues. However, a single-decision tree-based context-aware model may cause over-fitting problem and thus (...) decrease the prediction accuracy of the inferred model. Therefore, in this paper, we propose an ensemble machine-learning-based context-aware mobile telephony model for the purpose of intelligent interruption management by taking into account multi-dimensional contexts and name it “E-MIIM”. The experimental results on individuals’ real-life mobile telephony data sets show that our E-MIIM model is more effective and outperforms existing MIIM model for predicting and managing individual’s mobile telephony interruptions based on their relevant contextual information. (shrink)

In this chapter we extend earlier work (Vinuesa et al., Nat Commun 11, 2020) on the potential of artificial intelligence (AI) to achieve the 17 Sustainable Development Goals (SDGs) proposed by the United Nations (UN) for the 2030 Agenda. The present contribution focuses on three SDGs related to healthy and sustainable societies, i.e., SDG 3 (on good health), SDG 11 (on sustainable cities), and SDG 13 (on climate action). This chapter extends the previous study within those three goals and goes (...) beyond the 2030 targets. These SDGs are selected because they are closely related to the coronavirus disease 19 (COVID-19) pandemic and also to crises like climate change, which constitute important challenges to our society. (shrink)

Ai Ssu-ch'i is a little known but very important figure in the introduction of Marxism-Leninism into China. This first article provides a brief biography of Ai Ssu-ch'i as well as a detailed account of his activities as teacher, author and propagandist. Among his other services to the cause of Marxism-Leninism in China, one has to stress Ai Ssu-ch'i's systematic opposition to Yeh Ch'ing and to the non-Communist interpretation of Dr. Sun Yat-sen's Three Principles of the People. (cf.SST 10 (1970), 138–166.).

Hebrew translation of Ibn Tufail's Risalāt Ḥayy Ibn Yaqdhān with commentary in Hebrew and notes.

Besides the direct tradition, these verses are cited by Stephanus of Byzantium, s.n. Aῖγυς, who explains: λγος π∊ρ ‘Eλυης Λακωυικς οὒσης καῷ ἂρρ∊υ μτ∊κοσης κα τ ’Aλ∊ζυδρω κα Δηϊøβω γαμηθ∊σης Commentators have followed him both as to the identity of the three husbands and the sense of θηλπαις: ‘female-childed’.

In their joint paper entitled The Replication of the Hard Problem of Consciousness in AI and BIO-AI (Boltuc et al. Replication of the hard problem of conscious in AI and Bio- AI: An early conceptual framework 2008), Nicholas and Piotr Boltuc suggest that machines could be equipped with phenomenal consciousness, which is subjective consciousness that satisfies Chalmer’s hard problem (We will abbreviate the hard problem of consciousness as H-consciousness ). The claim is that if we knew the inner workings of (...) phenomenal consciousness and could understand its’ precise operation, we could instantiate such consciousness in a machine. This claim, called the extra-strong AI thesis, is an important claim because if true it would demystify the privileged access problem of first-person consciousness and cast it as an empirical problem of science and not a fundamental question of philosophy. A core assumption of the extra-strong AI thesis is that there is no logical argument that precludes the implementation of H-consciousness in an organic or in-organic machine provided we understand its algorithm. Another way of framing this conclusion is that there is nothing special about H-consciousness as compared to any other process. That is, in the same way that we do not preclude a machine from implementing photosynthesis, we also do not preclude a machine from implementing H-consciousness. While one may be more difficult in practice, it is a problem of science and engineering, and no longer a philosophical question. I propose that Boltuc’s conclusion, while plausible and convincing, comes at a very high price; the argument given for his conclusion does not exclude any conceivable process from machine implementation. In short, if we make some assumptions about the equivalence of a rough notion of algorithm and then tie this to human understanding, all logical preconditions vanish and the argument grants that any process can be implemented in a machine. The purpose of this paper is to comment on the argument for his conclusion and offer additional properties of H-consciousness that can be used to make the conclusion falsifiable through scientific investigation rather than relying on the limits of human understanding. (shrink)

Many computational tools for the simulation and design of emergency evacuation and egress are now available. However, due to the scarcity of human and social behavioral data, these computational tools rely on assumptions that have been found inconsistent or unrealistic. This paper presents a multi-agent based framework for simulating human and social behavior during emergency evacuation. A prototype system has been developed, which is able to demonstrate some emergent behaviors, such as competitive, queuing, and herding behaviors. For illustration, an example (...) application of the system for safe egress design is provided. (shrink)

As sophisticated artificial intelligence software becomes more ubiquitously and more intimately integrated within domains of traditionally human endeavor, many are raising questions over how responsibility (be it moral, legal, or causal) can be understood for an AI’s actions or influence on an outcome. So called “responsibility gaps” occur whenever there exists an apparent chasm in the ordinary attribution of moral blame or responsibility when an AI automates physical or cognitive labor otherwise performed by human beings and commits an error. Healthcare (...) administration is an industry ripe for responsibility gaps produced by these kinds of AI. The moral stakes of healthcare are often life and death, and the demand for reducing clinical uncertainty while standardizing care incentivizes the development and integration of AI diagnosticians and prognosticators. In this paper, we argue that (1) responsibility gaps are generated by “black box” healthcare AI, (2) the presence of responsibility gaps (if unaddressed) creates serious moral problems, (3) a suitable solution is for relevant stakeholders to voluntarily responsibilize the gaps, taking on some moral responsibility for things they are not, strictly speaking, blameworthy for, and (4) should this solution be taken, black box healthcare AI will be permissible in the provision of healthcare. (shrink)

In their article, ‘Responsibility, Second Opinions, and Peer-Disagreement—Ethical and Epistemological Challenges of Using AI in Clinical Diagnostic Contexts,’ Kempt and Nagel argue for a ‘rule of disagreement’ for the integration of diagnostic AI in healthcare contexts. The type of AI in question is a ‘decision support system’, the purpose of which is to augment human judgement and decision-making in the clinical context by automating or supplementing parts of the cognitive labor. Under the authors’ proposal, artificial decision support systems which produce (...) automated diagnoses should serve chiefly as confirmatory tools; so long as the physician and AI agree, the matter is settled, and the physician’s initial judgement is considered epistemically justified. If, however, the AI-DSS and physician disagree, then a second physician’s opinion is called on to resolve the dispute. While the cognitive labour of the decision is shared between the physicians and AI, the final decision remains at the discretion of the first physician, and with it the moral and legal culpability. The putative benefits of this approach are twofold: healthcare administration can improve diagnostic performance by introducing AI-DSS without the unintended byproduct of a responsibility gap, and assuming the physician and AI disagree less than the general rate of requested second opinions, and the AI’s diagnostic accuracy supersedes or at least …. (shrink)

Given the need for enforceable guardrails for artificial intelligence (AI) that protect the public and allow for innovation, the U.S. Government recently issued a Blueprint for an AI Bill of Rights which outlines five principles of safe AI design, use, and implementation. One in particular, the right to notice and explanation, requires accurately informing the public about the use of AI that impacts them in ways that are easy to understand. Yet, in the healthcare setting, it is unclear what goal (...) the right to notice and explanation serves, and the moral importance of patient-level disclosure. We propose three normative functions of this right: (1) to notify patients about their care, (2) to educate patients and promote trust, and (3) to meet standards for informed consent. Additional clarity is needed to guide practices that respect the right to notice and explanation of AI in healthcare while providing meaningful benefits to patients. (shrink)

The standard interpretation of the imitation game is defended over the rival gender interpretation though it is noted that Turing himself proposed several variations of his imitation game. The Turing test is then justified as an inductive test not as an operational definition as commonly suggested. Turing's famous prediction about his test being passed at the 70% level is disconfirmed by the results of the Loebner 2000 contest and the absence of any serious Turing test competitors from AI on the (...) horizon. But, reports of the death of the Turing test and AI are premature. AI continues to flourish and the test continues to play an important philosophical role in AI. Intelligence attribution, methodological, and visionary arguments are given in defense of a continuing role for the Turing test. With regard to Turing's predictions one is disconfirmed, one is confirmed, but another is still outstanding. (shrink)

In recent years, the genetic testing and selection of IVF embryos, known as preimplantation genetic testing (PGT), has gained much traction in clinical assisted reproduction for preventing transmission of genetic defects. However, a more recent ethically and morally controversial development in PGT is its possible use in selecting IVF embryos for optimal intelligence quotient (IQ) and other non–disease-related socially desirable traits, such as tallness, fair complexion, athletic ability, and eye and hair colour, based on polygenic risk scores (PRS), in what (...) is referred to as PGT-P. Artificial intelligence (AI) and machine learning–based analysis of big data sets collated from genome sequencing of specific human ethnic populations can be used to estimate an individual embryo’s likelihood of developing such multifactorial traits by analysing the combination of specific genetic variants within its genome. Superficially, this technique appears compliant with Islamic principles and ethics. Because there is no modification of the human genome, there is no tampering with Allah’s creation (_taghyīr khalq Allah_). Nevertheless, a more critical analysis based on the five maxims of Islamic jurisprudence (_qawa'id fiqhiyyah_) that are often utilized in discourses on Islamic bioethics, namely _qaṣd_ (intention), _yaqın̄_ (certainty), _ḍarar_ (injury), _ḍarūra_ (necessity), and _`urf_ (custom), would instead reveal some major ethical and moral flaws of this new medical technology in the selection of non–disease-related socially desirable traits, and its non-compliance with the spirit and essence of Islamic law (shariah). Muslim scholars, jurists, doctors, and biomedical scientists should debate this further and issue a fatwa on this new medical technology platform. (shrink)

This article brings to light how AI research has benefited from post-Wittgensteinian philosophy. My research shows that Wittgenstein’s work began to engage the attention of AI researchers not only in the 1970s down to the present but right from the early beginnings of computational research in the 1950s. More specifically, his later philosophy inspired a group of researchers called the Cambridge Language Research Unit (CLRU) to start one of the first programs in machine translation, information retrieval, mechanical abstracting, and knowledge (...) representation technologies in the early 1950s, all of which have later been claimed for AI and cognitive science. I focus on the philosophical work of CLRU founder Margaret Masterman and her extraordinary but forgotten contributions to ordinary language philosophy. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:IntroductionPiers H.G. StephensThis special issue of Ethics and the Environment is dedicated to the philosophical contributions of our founding editor, Victoria Davion, who launched the journal in 1996 and edited it until shortly before her death in November 2017. Vicky was a pioneering figure in ecofeminist philosophy, as well as being both the first woman to become a full professor and the first to be chair of the Philosophy (...) Department here at the University of Georgia. Naturally we have endeavored to give her a suitable tribute in this issue, which we hope you will appreciate.In addition to these achievements, Vicky developed and practiced a pedagogy that consistently complemented her philosophical perspective, and in the issue's opening piece, Cecilia Herles reflects personally on the enduring legacy and influence of Vicky Davion's teaching work, and the rich heritage that has flowed out of it for her students, encouraging egalitarian dialogue, interdisciplinarity, and a practicality that extended beyond the University and into the wider community. It is surely appropriate to begin our special issue with such an appreciation of the ways that Vicky touched and lifted up so many lives.These reflections are built upon in Chaone Mallory's essay, which takes Davion's key essay "Is Ecofeminism Feminist?" as its touchstone, examining that essay's vital influence on scholarship and activism as well as its key role in defining contemporary ecofeminism itself. Drawing upon Davion's arguments, Mallory tracks a series of vital questions for the development of the field. She demonstrates how Davion's early critical insights have helped sort the wheat from the chaff in dealing with concerns such as spirituality, irrationality, essentialism, and sexism within environmentalism, concerns that made ecofeminism questionable in some feminists' eyes, and she concludes with a positive exposition as to why "all feminisms, whether named this or not, should in some sense, be eco."From here we move to Ronnie Hawkins' extensive and detailed application of Davion's work to the neurobiological, cultural, and axiological roots of our contemporary ecological situation, in which Hawkins invokes [End Page 1] and applies the insights of Davion's 2002 essay "Anthropocentrism, Artificial Intelligence, and Moral Network Theory: An Ecofeminist Perspective." Drawing upon Davion's inventive use of Val Plumwood's account of dualisms, Hawkins stresses Davion's pioneering work in avoiding the reason/nature dualistic fracture, and uses this work to critique the predominant current discourses of AI and neuroscience, in the process further expounding Davion's critiques of anthropocentrism and logocentrism. Cashing out the wider implications of Davion's perspective for our models of the mind, Hawkins connects these to Iain McGilchrist's recent work on the neuropsychology of perception and morality, arguing that this new account of the interaction of the two cerebral hemispheres and their role in generating an orientation to the world for cognition and valuing is consistent with Davion's insights, and can both help explain the environmental failings of modern Western culture and give support for non-instrumentalizing and nonanthropocentric alternatives.Finally, Trish Glazebrook and Emmanuela Opoku offer an extended ecofeminist examination of the roles, significance, dangers, and current status of environmental protectors in contemporary global environmental politics. In a paper dedicated to Davion that addresses many of her concerns with the interlocking character of forms of oppression, they systematically investigate and elucidate the importance of environmental protectors, the struggles that they engage in, the increasing threats of violence that they face, and their significance in the fight against climate change, ultimately arguing that the UN should extend explicit protection to land and environmental defenders under its human rights umbrella.We think these contributions are a fitting tribute to our founding editor, and offer you this special issue with the wish that her legacy will endure. [End Page 2]Copyright © 2018 The Trustees of Indiana University... (shrink)

It is argued that “human-centredness” will be an important characteristic of systems that learn tasks from human users, as the difficulties in inductive inference rule out learning without human assistance. The aim of “programming by example” is to create systems that learn how to perform tasks from their human users by being shown examples of what is to be done. Just as the user creates a learning environment for the system, so the system provides a teaching opportunity for the user, (...) and emphasis is placed as much on facilitating successful teaching as on incorporating techniques of machine learning. If systems can “learn” repetitive tasks, their users will have the power to decide for themselves which parts of their jobs should be automated, and teach the system how to do them — reducing their dependence on intermediaries such as system designers and programmers.This paper presents principles for programming by example derived from experience in creating four prototype learners: for technical drawing, text editing, office tasks, and robot assembly. A teaching metaphor (a) enables the user to demonstrate a task by performing it manually, (b) helps to explain the learner's limited capabilities in terms of a persona, and (c) allows users to attribute intentionality. Tasks are represented procedurally, and augmented with constraints. Suitable mechanisms for attention focusing are necessary in order to control inductive search. Hidden features of a task should be made explicit so that the learner need not embark on the huge search entailed by hypothesizing missing steps. (shrink)

Engineering and scientific education conditions us to expect everything, including intelligence, to have a simple, compact explanation. Accordingly, when people new to AI ask "What's AI all about," they seem to expect an answer that defines AI in terms of a few basic mathematical laws.

L'allégorie mystique Hay ben Yaqzân -- Les trois dernières sections de l'ouvrage al-Ishârât wa-t-Tanbîhât sur la doctrine Çoufique -- Le traité mystique at-Thair -- Traité sur l'amour -- Traité sur la nature de la prière -- Missive sur l'influence produite par la fréquentation des lieux saints et les prières qu'on y fait -- Traité sur la délivrance de la crainte de la mort -- Traité sur le destin.

Rapid advancements in artificial intelligence and machine learning (AI/ML) in healthcare raise pressing questions about how much users should trust AI/ML systems, particularly for high stakes clinical decision-making. Ensuring that user trust is properly calibrated to a tool’s computational capacities and limitations has both practical and ethical implications, given that overtrust or undertrust can influence over-reliance or under-reliance on algorithmic tools, with significant implications for patient safety and health outcomes. It is, thus, important to better understand how variability in trust (...) criteria across stakeholders, settings, tools and use cases may influence approaches to using AI/ML tools in real settings. As part of a 5-year, multi-institutional Agency for Health Care Research and Quality-funded study, we identify trust criteria for a survival prediction algorithm intended to support clinical decision-making for left ventricular assist device therapy, using semistructured interviews (n=40) with patients and physicians, analysed via thematic analysis. Findings suggest that physicians and patients share similar empirical considerations for trust, which were primarilyepistemicin nature, focused on accuracy and validity of AI/ML estimates. Trust evaluations considered the nature, integrity and relevance of training data rather than the computational nature of algorithms themselves, suggesting a need to distinguish ‘source’ from ‘functional’ explainability. To a lesser extent, trust criteria were also relational (endorsement from others) and sometimes based on personal beliefs and experience. We discuss implications for promoting appropriate and responsible trust calibration for clinical decision-making use AI/ML. (shrink)

A. Newell and H. A. Simon were two of the most influential scientists in the emerging field of artificial intelligence (AI) in the late 1950s through to the early 1990s. This paper reviews their crucial contribution to this field, namely to symbolic AI. This contribution was constituted mostly by their quest for the implementation of general intelligence and (commonsense) knowledge in artificial thinking or reasoning artifacts, a project they shared with many other scientists but that in their case was theoretically (...) based on the idiosyncratic notions of symbol systems and the representational abilities they give rise to, in particular with respect to knowledge. While focusing on the period 1956-1982, this review cites both earlier and later literature and it attempts to make visible their potential relevance to today's greatest unifying AI challenge, to wit, the design of wholly autonomous artificial agents (a.k.a. robots) that are not only rational and ethical, but also self-conscious. (shrink)

Organizations are making massive investments in artificial intelligence, and recent demonstrations and achievements highlight the immense potential for AI to improve organizational and human welfare. Yet realizing the potential of AI necessitates a better understanding of the various ethical issues involved with deciding to use AI, training and maintaining it, and allowing it to make decisions that have moral consequences. People want organizations using AI and the AI systems themselves to behave ethically, but ethical behavior means different things to different (...) people, and many ethical dilemmas require trade-offs such that no course of action is universally considered ethical. How should organizations using AI—and the AI itself—process ethical dilemmas where humans disagree on the morally right course of action? Though a variety of ethical AI frameworks have been suggested, these approaches do not adequately address how people make ethical evaluations of AI systems or how to incorporate the fundamental disagreements people have regarding what is and is not ethical behavior. Drawing on moral foundations theory, we theorize that a person will perceive an organization’s use of AI, its data procedures, and the resulting AI decisions as ethical to the extent that those decisions resonate with the person’s moral foundations. Since people hold diverse moral foundations, this highlights the crucial need to consider individual moral differences at multiple levels of AI. We discuss several unresolved issues and suggest potential approaches for thinking about conflicts in moral judgments concerning AI. (shrink)

Conversational artificial agents and artificially intelligent voice assistants are becoming increasingly popular. Digital virtual assistants such as Siri, or conversational devices such as Amazon Echo or Google Home are permeating everyday life, and are designed to be more and more humanlike in their speech. This study investigates the effect this can have on one’s conformity with an AI assistant. In the 1950s, Solomon Asch’s already demonstrated the power and danger of conformity amongst people. In these classical experiments test persons were (...) asked to answer relatively simple questions, whilst others pretending to be participants tried to convince the test person to give wrong answers. These studies were later replicated with embodied robots, but these physical robots are still rare. In light of our increasing reliance on AI assistants, this study investigates to what extent an individual will conform to a disembodied virtual assistant. We also investigate if there is a difference between a group that interacts with an assistant that communicates through text, one that has a robotic voice and one that has a humanlike voice. The assistant attempts to subtly influence participants’ final responses in a general knowledge quiz, and we measure how often participants change their answer after having been given advice. Results show that participants conformed significantly more often to the assistant with a human voice than the one that communicated through text. (shrink)

Comparisons of Japan with Western countries have long been used to explore the relationship between technology and culture. In the 1950s and 1960s such work sought to determine if technological imperatives were diminishing cultural differences. In the 1970s, 1980s and early 1990s many sought to identify aspects of Japanese culture that might lie at the root of Japan’s technological successes. This article argues that we should now undertake more micro and more systematic comparative studies that are more directly grounded in (...) theory. Studies concentrating on engineers and the practice of engineering would seem to be an especially promising starting point. (shrink)

Richard Janko's acclaimed translation of Aristotle's _Poetics_ is accompanied by the most comprehensive commentary available in English that does not presume knowledge of the original Greek. Two other unique features are Janko's translations with notes of both the _Tractatus Coislinianus_, which is argued to be a summary of the lost second book of the Poetics, and fragments of Aristotle’s dialogue On Poets, including recently discovered texts about catharsis, which appear in English for the first time.

Papers presented at the 4th BRICS Academic Forum held in New Delhi on March 5-6, 2012.