The purpose of the article is to analyze the relational theory of personal autonomy proposed by Catriona Mackenzie. First, the theoretical context of the theory is shown, including key features and examples of relational theories of personal autonomy. Then Mackenzie's theory is presented, according to which seven conditions of autonomy should be distinguished. The conditions are grouped into three separate axes: self-determination, self-governance, and self-authorization. According to the theory, none of the conditions is necessary, and the assessment of the level (...) of an individual's autonomy is to be contextual. Finally, an attempt is made to assess the value of the conception proposed by the Australian scholar. It is argued that the condition of authenticity of practical identity should be replaced with the condition of coherence of practical identity. It is also suggested that for the theory to be useful in assessing the autonomy of decisions it should be supplemented with two further conditions: the coherence of a decision made by a person with her practical identity, and the absence of controlling influence such as coercion, persuasion, and manipulation. (shrink)

Conversational Artificial Intelligence (CAI) systems (also known as AI “chatbots”) are among the most promising examples of the use of technology in mental health care. With already millions of users worldwide, CAI is likely to change the landscape of psychological help. Most researchers agree that existing CAIs are not “digital therapists” and using them is not a substitute for psychotherapy delivered by a human. But if they are not therapists, what are they, and what role can they play in mental (...) health care? To answer these questions, we appeal to two well-established and widely discussed concepts: cognitive and affective artifacts. Cognitive artifacts are artificial devices contributing functionally to the performance of a cognitive task. Affective artifacts are objects which have the capacity to alter subjects’ affective state. We argue that therapeutic CAIs are a kind of cognitive-affective artifacts which contribute to positive therapeutic change by (i) simulating a (quasi-)therapeutic interaction, (ii) supporting the performance of cognitive tasks, and (iii) altering the affective condition of their users. This sheds new light on why virtually all existing mental health CAIs implement principles and techniques of Cognitive Behavioral Therapy — a therapeutic orientation according to which affective change and, ultimately, positive therapeutic change is mediated by cognitive change. Simultaneously, it allows us to conceptualize better the potential and limitations of applying these technologies in therapy. (shrink)

The notion of implicit commitment has played a prominent role in recent works in logic and philosophy of mathematics. Although implicit commitment is often associated with highly technical studies, it remains so far an elusive notion. In particular, it is often claimed that the acceptance of a mathematical theory implicitly commits one to the acceptance of a Uniform Reflection Principle for it. However, philosophers agree that a satisfactory analysis of the transition from a theory to its reflection principle is still (...) lacking. We provide an axiomatization of the minimal commitments implicit in the acceptance of a mathematical theory. The theory entails that the Uniform Reflection Principle is part of one's implicit commitments, and sheds light on the reason why this is so. We argue that the theory has interesting epistemological consequences in that it explains how justified belief in the axioms of a theory can be preserved to the corresponding reflection principle. The theory also improves on recent proposals for the analysis of implicit commitment based on truth or epistemic notions. (shrink)

In their thought-provoking article, Sedlakova and Trachsel (2023) defend the view that the status—both epistemic and ethical—of Conversational Artificial Intelligence (CAI) used in psychotherapy is complicated. While therapeutic CAI seems to be more than a mere tool implementing particular therapeutic techniques, it falls short of being a “digital therapist.” One of the main arguments supporting the latter claim is that even though “the interaction with CAI happens in the course of conversation… the conversation is profoundly different from a conversation with (...) a human therapist” (Sedlakova and Trachsel 2023, 8). In particular, unlike a human therapist, CAI cannot help its users gain new insight and self-understanding (Sedlakova and Trachsel 2023). We agree that currently available therapeutic CAI cannot be considered a “digital therapist,” however, we think that the issue surrounding the acquisition of new self-understanding in the interaction with therapeutic CAI is more complicated than Sedlakova and Trachsel suggest. (shrink)

Growing demand for broadly accessible mental health care, together with the rapid development of new technologies, trigger discussions about the feasibility of psychotherapeutic interventions based on interactions with Conversational Artificial Intelligence (CAI). Many authors argue that while currently available CAI can be a useful supplement for human-delivered psychotherapy, it is not yet capable of delivering fully fledged psychotherapy on its own. The goal of this paper is to investigate what are the most important obstacles on our way to developing CAI (...) systems capable of delivering psychotherapy in the future. To this end, we formulate and discuss three challenges central to this quest. Firstly, we might not be able to develop effective AI-based psychotherapy unless we deepen our understanding of what makes human-delivered psychotherapy effective. Secondly, assuming that it requires building a therapeutic relationship, it is not clear whether psychotherapy can be delivered by non-human agents. Thirdly, conducting psychotherapy might be a problem too complicated for narrow AI, i.e., AI proficient in dealing with only relatively simple and well-delineated tasks. If this is the case, we should not expect CAI to be capable of delivering fully-fledged psychotherapy until the so-called “general” or “human-like” AI is developed. While we believe that all these challenges can ultimately be overcome, we think that being mindful of them is crucial to ensure well-balanced and steady progress on our path to AI-based psychotherapy. (shrink)

W pierwszej połowie XX wieku przyjęło się upatrywać w poglądach H. Poincarégo i P. Duhema przykładów antyrealistycznego stanowiska odnośnie do nauki i jej teorii. Etykietka ta przylgnęła do tych autorów tak mocno, że coraz częstszym dzisiaj głosom tych, którzy sprzeciwiają się takiemu szufladkowaniu ich filozofii, trudno jest przebić się do głównego nurtu dyskusji filozoficznych. W artykule wskazuję, że odczytywanie poglądów obu francuskich autorów jako antyrealistycznych nie znajduje potwierdzenia w ich własnych wypowiedziach. Przeciwnie, ich prace dostarczają mocnych świadectw na rzecz upatrywania (...) w nich prekursorów współczesnych wyrafinowanych stanowisk realistycznych. (shrink)

Celem artykułu jest analiza i dyskusja definicji opresji społecznej zaproponowanej przez Ann E. Cudd. Na początku zostaną krótko scharakteryzowane wybrane sposoby rozumienia tego zjawiska w filozofii współczesnej. Następnie przedmiotem zainteresowania będą kluczowe elementy definicji opresji przedstawionej przez amerykańską autorkę. W dalszej kolejności scharakteryzowany zostanie społeczny i normatywny wymiar opresji oraz materialne i psychologiczne siły opresji. Do tych ostatnich zaliczają się takie czynniki jak przemoc i wiarygodna groźba przemocy, nierówności ekonomiczne, racjonalne wybory ofiar opresji, bezpośrednie psychologiczne szkody opresji oraz pośrednie siły (...) opresji psychologicznej, na przykład fałszywa świadomość czy zniekształcone pragnienia. Następnie zarysowane zostaną także najważniejsze interakcje między poszczególnymi rodzajami sił opresji. Na koniec wskazane zostaną zalety i ograniczenia omawianego ujęcia opresji. (shrink)

P. Kyle Stanford formulated his New Induction over the History of Science in order to show that underdetermination of scientific theories by evidence is a genuine problem of scientific theorizing about the world and a one that all scientific realists should take seriously. His argument uses historical record to show that because successful theories of the past were typically, in the light of the then available evidence, underdetermined by theories which we could not at the time conceive, we should expect (...) that our best contemporary theories are also undetermined by some yet unconceived alternatives. The aim of this article is to show that the threat of New Induction is ultimately no different than the threat of classical Pessimistic Induction in the way that to give a successful response to the later on behalf of scientific realism is, at the same time, to give a successful response to the former. I point out to some recent realistic responses to Pessimistic Induction to show that there are now viable realist positions, which allow one to embrace Pessimistic Induction as to whole theories and still remain realistic about certain parts of our theoretical knowledge of the unobservable. I argue that since historical record gives us inductive rationale for expecting that certain parts of our best theories will be preserved in future theories, we can also rationally expect that those parts are not underdetermined by yet unconceived future alternatives, and hence New Induction poses no threat to some new forms of scientific realism. (shrink)

The article investigates the intuition that both scientific realism and scientific antirealism are turning into degenerating research programs. The evolution of realism in reaction to pessimistic (meta)induction has certainly led to its increased sophistication as it has given rise to various versions of selective realism. However, many current discussions seem either too focused on semantic niceties or are turning into endless quarrels over case-study refutations of particular forms of realism. The point of finding a better understanding of the relations of (...) scientific knowledge to the world seems to get lost in the process. Magnus, Callender, and Saatsi are among those who see the problem. Although drawing on different observations, they agree that the source of the problem is the wholesale approach according to which it is possible to resolve the realism debate in one move, by finding a single universal method of interpreting any scientific theory. Instead, they call for a more modest approach, based on case-by-case analyses. Particularly promising is Saatsi's idea of exemplar realism, according to which realism should be an attitude motivating detailed case studies rather than a specific account of science in general. (shrink)

In this paper, we argue that several recent ‘wide’ perspectives on cognition (embodied, embedded, extended, enactive, and distributed) are only partially relevant to the study of cognition. While these wide accounts override traditional methodological individualism, the study of cognition has already progressed beyond these proposed perspectives towards building integrated explanations of the mechanisms involved, including not only internal submechanisms but also interactions with others, groups, cognitive artifacts, and their environment. The claim is substantiated with reference to recent developments in the (...) study of “mindreading” and debates on emotions. We claim that the current practice in cognitive (neuro)science has undergone, in effect, a silent mechanistic revolution, and has turned from initial binary oppositions and abstract proposals towards the integration of wide perspectives with the rest of the cognitive (neuro)sciences. (shrink)

Replicability and reproducibility of computational models has been somewhat understudied by “the replication movement.” In this paper, we draw on methodological studies into the replicability of psychological experiments and on the mechanistic account of explanation to analyze the functions of model replications and model reproductions in computational neuroscience. We contend that model replicability, or independent researchers' ability to obtain the same output using original code and data, and model reproducibility, or independent researchers' ability to recreate a model without original code, (...) serve different functions and fail for different reasons. This means that measures designed to improve model replicability may not enhance (and, in some cases, may actually damage) model reproducibility. We claim that although both are undesirable, low model reproducibility poses more of a threat to long-term scientific progress than low model replicability. In our opinion, low model reproducibility stems mostly from authors' omitting to provide crucial information in scientific papers and we stress that sharing all computer code and data is not a solution. Reports of computational studies should remain selective and include all and only relevant bits of code. (shrink)

EN: Selection of Marczyński's interviews on philosophy and literature which were recorded in early 2007 for the purpose of his radio broadcast "Hortus (In)Conclusus." Includes interviews with: Marek Bieńczyk, Józef Bremer, Ihor Byczko, Andrij Dachnij, Anna Dziedzic, Mateusz Falkowski, Tadeusz Gadacz, Michał Głowiński, Dorota Hall, Serhij Jospenko, Wachtang Kebuładze, Zbigniew Kloch, Andrzej Kołakowski, Wasyl Lisowyj, Ołeksandr Majewskyj, Anton Marczynski, Julia Marczyńska, Wadym Menżulin, Zbigniew Mikołejko, Monika Milewska, Andrij Okara, Ihor Paśko, Adam Pomorski, Myrosła Popowycz, Jerzy Prokopiuk, Iryna Puchta, Barbara (...) Skarga, Dmytro Stepowyk, Władysław Stróżewski, Myrosław Trofymuk, Tomas Venclova, Jan Woleński, Taras Wozniak, Arkadiusz Żychliński. (shrink)