1 citations · 2 across the 6 of their papers we have counts for
8 papers
One Faithful Pass Over the Cuckoo's Nest
Kristina Šekrst
Narrative theories of consciousness hold that conscious experience is (at least partly) constituted by a partially opaque inner narrative that does not perfectly track the underlyi…
How To Do Things With Prompts
Kristina Šekrst, Virna Karlić
When users address large language models, they produce directive speech acts whose pragmatic features differ from those of both everyday conversation and traditional human-computer…
Who Put the I in AI? Provenance and the Admissibility of Machine Self-Report
Kristina Šekrst
Large language models make statements concerning their own "minds". When asked whether or not they are conscious, they usually say that they are not; if they are prompted to ignore…
Do Large Language Models Hallucinate Electric Fata Morganas?
Kristina Šekrst
AI hallucinations - that is, outputs which are made up, cannot be verified, or contradict the source material - are generally regarded as an engineering flaw to be dealt with. This…
Astrobiology and the Transformation of Scientific Epistemology
Kristina Šekrst
Astrobiology occupies an unusual position within the philosophy of science. Confronted with the n = 1 problem - having only a single example of life to study - it attempts to inves…
Clause Encounters of the Third Kind: Can LLMs Replace Language Teachers?
Kristina Šekrst, Ana Kovačić
While various organizations now actively encourage LLM use in classrooms, we still lack rigorous, systematic evaluations of how well these models actually perform the fundamental t…
Prompt Injection 2.0: Hybrid AI Threats
Jeremy McHugh, Kristina Šekrst, Jon Cefalu
Prompt injection attacks, where malicious input is designed to manipulate AI systems into ignoring their original instructions and following unauthorized commands instead, were fir…
AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development
Kristina Šekrst, Jeremy McHugh, Jonathan Rodriguez Cefalu
This paper explores the development of an ethical guardrail framework for AI systems, emphasizing the importance of customizable guardrails that align with diverse user values and…