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)

In this paper, we reconsider the notion of epistemic trespassing and attempt to explore possible scenarios in which it could lead to positive outcomes in scientific research and information dissemination. As we will point out, some of the significant discoveries in the history of science would not have been possible were it not for the epistemic trespassers, whose shift in paradigm changed the approach to specific issues for the better. Furthermore, we will present instances where individuals, often labeled as ‘trespassers’ (...) – those who venture into fields outside their expertise – can be considered trustworthy and reliable sources of testimony. Consequently, epistemic trespassing turned out to be essential for the advancement of science. Epistemic trespassing in our age is virtually inevitable – whether it be from a political perspective (to preserve democratic values) or due to purely practical reasons (i.e. searching for information online). There are interdisciplinary fields where a strictly negative characterization of epistemic trespassing would question their methodology since these disciplines rely on experts from various fields. For these reasons, we advocate for a more charitable approach to epistemic trespassing and greater public education to help them distinguish between correct and false information. (shrink)

Bald-faced lies are on the uptick by political leaders in democracies worldwide. In the United States, for example, we are becoming numb not only to outrageous falsehoods, but to the bizarre self-assurance with which they are pronounced. We were told crowds were bigger than they were, that the sun shined when it didn’t, that Trump won in a landslide—and that was just in the first few days after his election. What has shocked so many is the fearlessness in the face (...) of the facts, the willingness to simply deny reality outright, and the apparent toleration—even joy—with which Trump’s followers greet the practice. Bald-faced lying by political leaders is an important phenomenon, but it is easy to misunderstand in ways that undermine our ability to combat its strange effectiveness. In this paper, I aim to first analyze political bald-faced lies and then examine the threat they pose to the norms of democratic discourse. My goal is not to answer the empirical question of how frequently denials of obvious facts occur in politics; it is the normative question of understanding what harms they cause — particularly when they are made by those — in political power. Nonetheless, I think it is important to resist the temptation to think that what we are talking about here are a few isolated and extreme examples. As Hannah Arendt noted, there are times in political life when truth, “if it happens to oppose a given group’s profit or pleasure, is greeted with greater hostility.” Arguably we are living in one of those times. (shrink)