According to the scenario of cosmological artificial selection and artificial cosmogenesis, our universe was created and possibly even fine-tuned by cosmic engineers in another universe. This approach shall be compared to other explanations, and some far-reaching problems of it shall be discussed.

This paper examines the way Charles Darwin applied his domestic breeding analogy to the practical workings of species evolution: that application, it is argued, centered on Darwin's distinction between methodical and unconscious selection. Methodical selection, which entailed pairing particular individuals for mating purposes, represented conditions of strict geographic isolation, obviously useful for species multiplication (speciation). By contrast, unconscious selection represented an open landmass with a large breeding population. Yet Darwin held that this latter scenario, which often would (...) include multiple ecological subdistricts and thus partial isolation, was better suited for speciation than were isolated conditions. At the same time, many passages in Darwin's writings that apparently portrayed phyletic evolution exclusively (these including references to unconscious selection), actually applied to speciation as well, for phyletic change in a single district could constitute a local manifestation of a larger common-descent pattern. This generic use of "phyletic" change was reflected in Darwin's deployment of the unconscious selection analogy in his published writings as well as in his dispute with Moritz Wagner over the necessity of geographic isolation for speciation. We can thus understand Darwin's otherwise puzzling declaration in The Origin of Species that unconscious selection was 'more important' than the methodical approach. (shrink)

Darwin used artificial selection extensively and variedly in his theorizing. Darwin used ASN as an analogy to natural selection; he compared artificial to natural varieties, hereditary variation in nature to that in the breeding farm; and he also compared the overall effectiveness of the two processes. Most historians and philosophers of biology have argued that ASN worked as an analogical field in Darwin’s theorizing. I will argue rather that this provides a limited and somewhat muddled view (...) of Darwinian science. I say “limited” because I will show that Darwin also used ASN as a complex experimental field. And I say “muddled” because, if we concentrate on the analogical role exclusively, we conceive Darwinian science as rather disconnected from contemporary conceptions of “good science”.I will argue that ASN should be conceived as a multifaceted experiment. As a traditional experiment, ASN established the efficacy of Darwin’s preferred cause: natural selection. As a non-traditional experiment, ASN disclosed the nature of a crucial element in Darwin’s evolutionary mechanics: the nature of hereditary variation. Finally, I will argue that the experiment conception should help us make sense of Darwin’s comments regarding the “monstrous” nature of domestic breeds_traditionally considered to be problematic. (shrink)

I claim that the increase in complexity in the trace of Paleolithic stone tools can be parsimoniously explained by postulating the emergence of effective mechanisms for the social transmission of representations. I propose that Paleolithic tools, similar to more contemporary tools, were subject to a process of evolution by artificial selection based on functionality.

Jan Greben criticized fine-tuning by taking seriously the idea that “nature is quantum mechanical”. I argue that this quantum view is limited, and that fine-tuning is real, in the sense that our current physical models require fine-tuning. Second, I examine and clarify many difficult and fundamental issues raised by Rüdiger Vaas’ comments on Cosmological Artificial Selection.

Mimicry is common among animals, plants, and other kingdoms of life. Humans in late capitalism, however, have devised an unique method of mimicking the signs that trigger evolutionarily-programmed instincts of their own species in order to manipulate them. Marketing and advertising are the most pervasive and sophisticated forms of known human mimicry, deliberately hijacking our instincts in order to select on the basis of one dimension only: profit. But marketing and advertising also strangely undermine their form of mimicry, deceiving both (...) the intended targets and the signaler simultaneously. Human forms of mimicry have the regular consequence of deceiving the imitator, reducing meta-cognitive awareness of the act and intentions surrounding such deception. Therefore, the deceiver in the end deceives himself as well as intended targets. Drawing on scholarship applying Niko Tinbergen’s ethological discovery of supernormal stimuli in animals to humans, this article analyzes sophisticated mass mimicry in contemporary culture, in both intended and unintended forms. (shrink)

Although historians have carefully examined exactly what role the analogy between artificial and natural selection might have played in Charles Darwin's discovery of natural selection, philosophers have not devoted much attention to the way Darwin employed the analogy to justify his theory. I suggest that philosophers tend to belittle the role that analogies play in the justification of scientific theories because they don't understand the special nature of analogical inference. I present a novel account of analogical argument (...) developed by Julian Weitzenfeld and then use it to carry out an in-depth analysis of Darwin's argument from artificial selection. (shrink)

“The question for us,” as Ronald Giere writes in Understanding Scientific Reasoning, “is whether analogies play any role in the JUSTIFICATION of [a] new theory.” Giere’s answer is an emphatic “No.” (Giere 1984, pp. 79-80). Although most philosophers of science would probably qualify Giere’s unmitigated rejection of analogical justification, few attribute much significance to analogical arguments in science. And when philosophers do grudgingly acknowledge an analogical argument, they are hesitant to analyze it.Take, for example, Charles Darwin’s argument for natural (...) class='Hi'>selection. It is difficult to deny that the analogy between artificial and natural selection played an important justificatory role. After all, artificial selectibn was the topic of the first chapter of Darwin’s Origin of Species and was referred to in countless arguments throughout the text.2. (shrink)

I examine three kinds of criticism directed at philosophical genealogy. I call these substantive, performative, and semantic. I turn my attention to a particular substantive criticism that one may launch against essay two of On the Genealogy of Morals that turns on how Nietzsche answers “the time-crunch problem”. On the surface, there is evidence to suggest that Nietzsche accepts a false scientific theory, namely, Lamarck’s Inheritability Thesis, in order to account for the growth of a new human “organ”—morality. I demonstrate (...) that the passages interpreted by some scholars to prove that Nietzsche is a Lamarckian can be reinterpreted along Darwinian lines. I demonstrate that Nietzsche hits upon the right drivers of phenotypical change in humans, namely, torture and enclosures (e.g., walls of early states), but misinterprets their true impact. Nietzsche believes that these technologies are responsible for producing what I call “culture-serving memory” and the bad conscience by causing emotions that once were expressed outwardly to turn inward causing the “psychological digestion” of the human animal. In reality, however, these mechanisms are conducive to breeding a particular type of individual, namely, one who is docile, by introducing artificial and unconscious selective pressures into the environment of early humans. In showing that Nietzsche’s genealogical account of memory and bad conscience is not underpinned on a false scientific theory and is consistent with Neo-Darwinism, I deflect a potentially fatal blow regarding the veracity of Nietzsche’s genealogies. -/- . (shrink)

Artificial Immune Systems (AIS) are intelligent algorithms derived on the principles inspired by human immune system. In this research work, electroencephalography (EEG) signals for four distinct motor movement of human limbs are detected and classified using Negative Selection Classification Algorithm (NSCA). For this study, a widely studied open source EEG signal database (BCI IV - Graz dataset 2a, comprising 9 subjects) has been used. Mel Frequency Cepstral Coefficients (MFCCs) are extracted as selected feature from recorded EEG signals. Dimensionality (...) reduction of data is carried out by applying two hidden layered stacked auto-encoder. Genetic Algorithm (GA) optimized detectors (Artificial Lymphocytes) are trained using Negative Selection Algorithm (NSA) for detection and classification of four motor movements. The trained detectors consist of four sets of detectors, each set is trained for detection and classification of one of the four movements from the other three movements. The optimized radius of detector is small enough not to mis-detect the sample. Euclidean distance of each detector with every training dataset sample is taken and compared with optimized radius of detector as a non-self detector. Our proposed approach achieved a mean classification accuracy of 86.39% for limb movements over 9 subjects with a maximum individual subject classification accuracy of 97.5 % for subject number eight. (shrink)

This paper offers a paleobiological perspective on the debate concerning the possible use of biotechnology to bring back extinct species. One lesson from paleobiology is that extinction selectivity matters in addition to extinction rates and extinction magnitude. Combining some of Darwin’s insights about artificial selection with the theory of species selection that paleobiologists developed in the 1970s and 1980s provides a useful context for thinking about de-extinction. Using recent work on the prioritization of candidate species for de-extinction (...) as a test case, the paper argues that de-extinction would be a form of artificial species selection in which humans influence which species persist vs. go extinct. This points to a serious gap in our ethical theory: Much work has been done to clarify the value of biological diversity, but we also need theoretical guidance for decisions that amount to species sorting, and that will shape the macroevolutionary future. (shrink)

The analogy Darwin drew between artificial and natural selection in "On the Origin of Species" has a detailed structure that has not been appreciated. In Darwin’s analogy, the kind of artificial selection called Methodical selection is analogous to the principle of divergence in nature, and the kind of artificial selection called Unconscious selection is analogous to the principle of extinction in nature. This paper argues that it is the analogy between these two (...) different principles familiar from his studies of artificial selection and the two different principles he claims are operative in nature that provides the main structure and force of the analogy he uses to make his case for the power of natural selection to produce new species. Darwin’s statements explicitly distinguishing between these two kinds of principles at work in nature occur prominently in the text of the Origin. The paper also shows that a recent revisionist claim that Darwin did not appeal to the efficacy of artificial selection is mistaken. (shrink)

The topic of the impact of artificial intelligence on law, the legal profession and legal culture, in general, has not yet been sufficiently discussed in the Croatian scientific community. This paper aims to encourage a more comprehensive analysis of the relationship between the increasing use of artificial intelligence in our daily lives and the specifics of practising the legal profession in such an environment. Artificial intelligence is still a broad and heterogeneous field. It is therefore justified to (...) ask the question: Which of the many technologies currently being developed can be applied in the field of law? Which legal matters can be “entrusted” to the new technologies? To answer such and similar questions, it is necessary to have an excellent knowledge of both artificial intelligence and the law, as well as the areas in which they intersect. We have chosen criminal law, which is a part of public law and the ultimate social mechanism for responding to undesirable behaviour, as our object of study. We pay particular attention to its two important aspects: the element of culpability in a criminal offence and the possibility of autonomous decision-making in criminal law. The reflections have shown that Croatian criminal law may have the ability and potential to adapt to the challenges of artificial intelligence when it comes to culpability. On the other hand, the necessity and value of artificially intelligent decisions are questionable given the fundamental characteristics of criminal law. In conclusion, the authors express a departure from views of artificial intelligence as a decision-making substitute in criminal law but support the view that artificially intelligent legal technologies are an aid to decision-making. (shrink)

The analogy between artificial selection of domestic varieties and natural selection in nature was a vital element of Darwin's argument in his Origin of Species. Ever since, the image of breeders creating new varieties by artificial selection has served as a convincing illustration of how the theory works. In this paper I argue that we need to reconsider our understanding of Darwin's analogy. Contrary to what is often assumed, nineteenth-century animal breeding practices constituted a highly (...) controversial field that was fraught with difficulties. It was only with considerable effort that Darwin forged his analogy, and he only succeeded by downplaying the importance of two other breeding techniques - crossing of varieties and inbreeding - that many breeders deemed essential to obtain new varieties. Part of the explanation for Darwin's gloss on breeding practices, I shall argue, was that the methods of his main informants, the breeders of fancy pigeons, were not representative of what went on in the breeding world at large. Darwin seems to have been eager to take the pigeon fanciers at their word, however, as it was only their methods that provided him with the perfect analogy with natural selection. Thus while his studies of domestic varieties were important for the development of the concept of natural selection, the reverse was also true: Darwin's comprehension of breeding practices was moulded by his understanding of the working of natural selection in nature. Historical studies of domestic breeding practices in the eighteenth and nineteenth century confirm that, besides selection, the techniques of inbreeding and crossing were much more important than Darwin's interpretation allowed for. And they still are today. This calls for a reconsideration of the pedagogic use of Darwin's analogy too. (shrink)

Several authors have made the argument that because blind evolutionary processes produced human intelligence on Earth, it should be feasible for clever human engineers to create human-level artificial intelligence in the not-too-distant future. This evolutionary argument, however, has ignored the observation selection effect that guarantees that observers will see intelligent life having arisen on their planet no matter how hard it is for intelligent life to evolve on any given Earth-like planet. We explore how the evolutionary argument might (...) be salvaged from this objection, using a variety of considerations from observation selection theory and analysis of specific timing features and instances of convergent evolution in the terrestrial evolutionary record. We find that, depending on the resolution of disputed questions in observation selection theory, the objection can either be wholly or moderately defused, although other challenges for the evolutionary argument remain. (shrink)

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This paper aims to propose an improved learning algorithm for feature selection, termed as binary superior tracking artificial bee colony with dynamic Cauchy mutation. To enhance exploitation capacity, a binary learning strategy is proposed to enable each bee to learn from the superior individuals in each dimension. A dynamic Cauchy mutation is introduced to diversify the population distribution. Ten datasets from UCI repository are adopted as test problems, and the average results of cross-validation of BSTABC-DCM are compared with (...) other seven popular swarm intelligence metaheuristics. Experimental results demonstrate that BSTABC-DCM could obtain the optimal classification accuracy and select the best representative features for the UCI problems. (shrink)

This paper is concerned with only one of the problems encountered in selecting donors for artificial insemination, that of choosing suitable donors. In Belgium medical students have generally been the donors of semen but Dr Schoysman examines the other choices of potential donors and outlines certain criteria for selecting them: these criteria are more explicit than those outlined by Professor Kerr and Miss Rogers on page 32. He also touches on the question of payment to donors.

The central role played by Darwin's analogy between selection under domestication and that under nature has been adequately appreciated, but I have indicated how important the domesticated organisms also were to other elements of Darwin's theory of evolution-his recognition of “the constant principle of change,” for instance, of the imperfection of adaptation, and of the extent of variation in nature. The further development of his theory and its presentation to the public likewise hinged on frequent reference to domesticates.We have (...) seen that Darwin's reliance on the analogy between domesticated varieties and wild species was a bold and original step, in light of contemporary views on the nature of domesticates. However, as Darwin undoubtedly foresaw, his reliance on the analogy created difficulties as well as solving problems, and these began with his Malthusian codiscoverer of the principle of natural selection, Alfred Russel Wallace. Wallace's paper “On the Tendency of Varieties to Depart Indefinitely from the Original Type,” presented to the Linnean Scoiety along with the first public unveiling of Darwin's theory, states: We see, then, that no inferences as to varieties in a state of nature can be deduced from the observation of those occurring among domestic animals. The two are so much opposed to each other in every circumstance of their existence, that what applies to the one is almost sure not to apply to the other. Domestic animals are abnormal, irregular, artificial; they are subject to varieties which never occur and never can occur in a state of nature.62Much has been made of the similarity of views of Darwin and Wallace, but this quotation surely reveals how utterly different their views were on what to Darwin was an important matter. Several critics of the Origin saw Darwin's reliance on the domesticates as his Achilles heel. As Young has pointed out, Samuel Wilberforce included the following passage in his attack on the Origin: Nor must we pass over unnoticed the transference of the argument from the domesticated to the untamed animals. Assuming that man as the selector can do much in a limited time, Mr. Darwin argues that Nature, a more powerful, a more continuous power, working over vastly extended ranges of time, can do more. But why should Nature, so uniform and persistent in all her operations, tend in this instance to change? Why should she become a selector of varieties?63Another critic, Fleeming Jenkin, found the analogy a weakness in Darwin's theory because of the limited extent of variation in any one direction in domestic animals and plants.64 We have already seen that Darwin had confided a similar view to his notebook thirty years earlier, but changed his mind as a result of his profound study of domesticates. De Beer's reference to “an English country gentleman's knowledge of domestic plants and animals and their breeding”65 fails totally to recognize the originality and depth of Darwin's knowledge of domesticates.Why did Darwin, against the currents of his time, rely so heavily on mankind's experience with domesticated organisms to shape his theory about species in nature? On reason is that only with domesticates was an approach that came close to experimental verification possible. Darwin fully realized the inadequacies of the experiment, as is emphasized by his repeated contrasting of selection under nature and selection by man. Yet the extensive experience and data of plant and animal breeders offered the only reliable base against which Darwin could continually challenge his views. As he wrote in the introduction to Variation, with domestication, “man ... may be said to have been trying an experiment on a gigantic scale.”66 Given Darwin's high opinion of the quantitative work of Malthus and Quetelet (as emphasized by Schweber),67 and his unremitting efforts to secure data by which to test his theories, it was inevitable that he should attach high significance to domesticated varieties. John Tyndall, in his Belfast address of 1874, said: “The strength of the doctrine of Evolution consists, not in experimental demonstration (for the subject is hardly accessible to this mode of proof), but in its general harmony with scientific thought.”68 Darwin would have agreed with the latter thought, but I think he would have challenged the preceding one on the grounds that long experience with domesticated varieties did provide an element of experimental demonstration. It gave him confidence in his theory, and he used his vast knowledge of artificial selection boldly and creatively. (shrink)

In On the Origin of Species, Charles Darwin put forward his theory of natural selection. Conventionally, Darwin's argument for this theory has been understood as based on an analogy with artificial selection. But there has been no consensus on how, exactly, this analogical argument is supposed to work – and some suspicion too that analogical arguments on the whole are embarrassingly weak. Drawing on new insights into the history of analogical argumentation from the ancient Greeks onward, as (...) well as on in-depth studies of Darwin's public and private writings, this book offers an original perspective on Darwin's argument, restoring to view the intellectual traditions which Darwin took for granted in arguing as he did. From this perspective come new appreciations not only of Darwin's argument but of the metaphors based on it, the range of wider traditions the argument touched upon, and its legacies for science after the Origin. (shrink)

In On the Origin of Species, Charles Darwin put forward his theory of natural selection. Conventionally, Darwin's argument for this theory has been understood as based on an analogy with artificial selection. But there has been no consensus on how, exactly, this analogical argument is supposed to work – and some suspicion too that analogical arguments on the whole are embarrassingly weak. Drawing on new insights into the history of analogical argumentation from the ancient Greeks onward, as (...) well as on in-depth studies of Darwin's public and private writings, this book offers an original perspective on Darwin's argument, restoring to view the intellectual traditions which Darwin took for granted in arguing as he did. From this perspective come new appreciations not only of Darwin's argument but of the metaphors based on it, the range of wider traditions the argument touched upon, and its legacies for science after the Origin. (shrink)

What can the actions of stockbreeders, as they select the best individuals for breeding, teach us about how new species of wild animals and plants come into being? Charles Darwin raised this question in his famous, even notorious, Origin of Species (1859). Darwin's answer - his argument by analogy from artificial to natural selection - is the subject of our book. We aim to clarify what kind of argument it is, how it works, and why Darwin gave it (...) such prominence. As we explain more fully in our Introduction, we believe that the argument becomes much more intelligible when set, contextually, in a story stretching from classical Greek mathematics to modern evolutionary genetics: a long story, and a broad one too, encompassing everything from Darwin's earliest notebook theorising on the births and deaths of species, to agrarian capitalism as a distinctive form of economic life, to shifting Western reflections on art-nature relations. (shrink)

This paper investigates the concept of behavioral autonomy in Artificial Life by drawing a parallel to the use of teleological notions in the study of biological life. Contrary to one of the leading assumptions in Artificial Life research, I argue that there is a significant difference in how autonomous behavior is understood in artificial and biological life forms: the former is underlain by human goals in a way that the latter is not. While behavioral traits can be (...) explained in relation to evolutionary history in biological organisms, in synthetic life forms behavior depends on a design driven by a research agenda, further shaped by broader human goals. This point will be illustrated with a case study on a synthetic life form. Consequently, the putative epistemic benefit of reaching a better understanding of behavioral autonomy in biological organisms by synthesizing artificial life forms is subject to doubt: the autonomy observed in such artificial organisms may be a mere projection of human agency. Further questions arise in relation to the need to spell out the relevant human aims when addressing potential social or ethical implications of synthesizing artificial life forms. (shrink)

This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used (...) to further strengthen design coordination efforts. VSD is shown to be both able to distill these common values as well as provide a framework for stakeholder coordination. (shrink)

In 2017, Partridge et al. published remarkable experimental results concerning the use of a new artificial womb technology (AWT) with lambs, developed at Children’s Hospital of Philadelphia, called...

This study is planned with the aim of constructing models that can be used to forecast trip production in the Al-Karada region in Baghdad city incorporating the socioeconomic features, through the use of various statistical approaches to the modeling of trip generation, such as artificial neural network and multiple linear regression. The research region was split into 11 zones to accomplish the study aim. Forms were issued based on the needed sample size of 1,170. Only 1,050 forms with responses (...) were received, giving a response rate of 89.74% for the research region. The collected data were processed using the ANN technique in MATLAB v20. The same database was utilized to develop the model of multiple linear regression with the stepwise regression technique in the SPSS v25 software. The results indicate that the model of trip generation is related to family size and composition, gender, students’ number in the family, workers’ number in the family, and car ownership. The ANN prediction model is more accurate than the MLR predicted model: the average accuracy was 83.72% in the ANN model but only 72.46% in the MLR model. (shrink)

Most biologists and some cognitive scientists have independently reached the conclusion that there is no such thing as learning in the traditional “instructive‘ sense. This is, admittedly, a somewhat extreme thesis, but I defend it herein the light of data and theories jointly extracted from biology, especially from evolutionary theory and immunology, and from modern generative grammar. I also point out that the general demise of learning is uncontroversial in the biological sciences, while a similar consensus has not yet been (...) reached in psychology and in linguistics at large. Since many arguments presently offered in defense of learning and in defense of “general intelligence‘ are often based on a distorted picture of human biological evolution, I devote some sections of this paper to a critique of “adaptationism,‘ providing also a sketch of a better evolutionary theory. Moreover, since certain standard arguments presented today as “knock-down‘ in psychology, in linguistics and in artificial intelligence are a perfect replica of those once voiced by biologists in favor of instruction and against selection, I capitalize on these errors of the past to draw some lessons for the present and for the future. (shrink)

Complexity and life as we know it depend crucially on the laws and constants of nature as well as the boundary conditions, which seem at least partly “fine-tuned.” That deserves an explanation: Why are they the way they are? This essay discusses and systematizes the main options for answering these foundational questions. Fine-tuning might just be an illusion, or a result of irreducible chance, or nonexistent because nature could not have been otherwise (which might be shown within a fundamental theory (...) if some constants or laws could be reduced to boundary conditions or boundary conditions to laws), or it might be a product of selection: either observational selection (weak anthropic principle) within a vast multiverse of many different realizations of physical parameters, or a kind of cosmological natural selection making the measured parameter values quite likely within a multiverse of many different values, or even a teleological or intentional selection or a coevolutionary development, depending on a more or less goal-directed participatory contribution of life and intelligence. In contrast to observational selection, which is not predictive, an observer-independent selection mechanism must generate unequal reproduction rates of universes, a peaked probability distribution, or another kind of differential frequency, resulting in a stronger explanatory power. The hypothesis of Cosmological Artificial Selection (CAS) even suggests that our universe may be a vast computer simulation or could have been created and transcended by one. If so, this would be a far-reaching answer – within a naturalistic framework! – of fundamental questions such as: Why did the big bang and fine-tunings occur, what is the role of intelligence in the universe, and how can it escape cosmic doomsday? This essay critically discusses some of the premises and implications of CAS and related problems, both with the proposal itself and its possible physical realization: Does CAS deserve to be considered as a convincing explanation of cosmic fine-tuning? Is life incidental, or does CAS revalue it? And are life and intelligence ultimately doomed, or might CAS rescue them? (shrink)

The potential societal impacts of automation using intelligent control and communications technologies have emerged as topics in a number of recent writings and public policy initiatives. Many of these expressions have referenced the writings and research efforts of Herbert Simon (1961), Norbert Wiener (1948), and contemporaries from their early technological and social vantage points concerning the future of technology and society. Constructed entities labeled as “thinking machines” (such as IBM’s Watson as well as intelligent chatbot and robotic systems) have also (...) played significant roles in this discourse. This paper provides an historical sequencing then analyzes a selection of writings produced since the 1940s concerning the economic and social issues involving artificial intelligence (AI) research and applications. The paper explores how overstatements and hyperbolic themes and concepts, often stemming from AI’s early periods, are being employed in characterizations of current AI approaches in apparently opportunistic attempts to provide rhetorical support for various large-scale business and societal initiatives. It also addresses the relative neglect of the consideration of many of AI’s sociotechnical failures and discontinued approaches in recent examinations of automation and social welfare issues. The paper discusses the moral logic of AI researchers and developers providing reasonable and measured narratives in public discourse rather than hyperbole, efforts that can empower decision makers to make sounder judgments concerning the technology’s current and future applications as well as allocate the rewards of the technology more equitably. (shrink)

Artificial intelligence is increasingly inputting into various human resource management functions, such as sourcing job applicants and selecting staff, allocating work, and offering personalized career coaching. While the use of AI for such tasks can offer many benefits, evidence suggests that without careful and deliberate implementation its use also has the potential to generate significant harms. This raises several ethical concerns regarding the appropriateness of AI deployment to domains such as HRM, which directly deal with managing sometimes sensitive aspects (...) of individuals’ employment lifecycles. However, research at the intersection of HRM and technology continues to largely center on examining what AI can be used for, rather than focusing on the salient factors relevant to its ethical use and examining how to effectively engage human workers in its use. Conversely, the ethical AI literature offers excellent guiding principles for AI implementation broadly, but there remains much scope to explore how these principles can be enacted in specific contexts-of-use. By drawing on ethical AI and task-technology fit literature, this paper constructs a decision-making framework to support the ethical deployment of AI for HRM and guide determinations of the optimal mix of human and machine involvement for different HRM tasks. Doing so supports the deployment of AI for the betterment of work and workers and generates both scholarly and practical outcomes. (shrink)

This paper examines the hypothesis that analogies may play a role in the generation of new ideas that are built into new explanatory theories. Methods of theory construction by analogy, by failed analogy, and by modular components from several analogies are discussed. Two different analyses of analogy are contrasted: direct mapping (Mary Hesse) and shared abstraction (Michael Genesereth). The structure of Charles Darwin's theory of natural selection shows various analogical relations. Finally, an "abstraction for selection theories" is shown (...) to be the structure of a number of theories. (shrink)

In the present study, we investigated the effects of selective attention at encoding on conceptual object priming (Experiment 1) and old-new recognition memory (Experiment 2) tasks in young and older adults. The procedures of both experiments included encoding and memory test phases separated by a short delay. At encoding, the picture outlines of two familiar objects, one in blue and the other in green, were presented to the left and to the right of fixation. In Experiment 1, participants were instructed (...) to attend to the picture outline of a certain color and to classify the object as natural or artificial. After a short delay, participants performed a natural/ artificial speeded conceptual classification task with repeated attended, repeated unattended and new pictures. In Experiment 2, participants at encoding memorized the attended pictures and classified them as natural or artificial. After the encoding phase, they performed an old-new recognition memory task. Consistent with previous findings with perceptual priming tasks, we found that conceptual object priming, like explicit memory, required attention at encoding. Significant priming was obtained in both age groups, but only for those pictures that were attended at encoding. Although older adults were slower than young adults, both groups showed facilitation for attended pictures. In line with previous studies, young adults had better recognition memory than older adults. (shrink)