Beware of botshit: How to manage the epistemic risks of generative chatbots

2024/03/20 by Timothy R. Hannigan, Ian P. McCarthy, André Spicer · 2 voices · 133 citations
Business, Management and Accounting · Computer Science · Psychology · #AI in Service Interactions #Artificial intelligence #Blockchain Technology Applications and Security #Computer science #Epistemology #FinTech, Crowdfunding, Digital Finance #Generative grammar #Philosophy #Psychology

paper · doi:10.1016/j.bushor.2024.03.001

published in Business Horizons 67(5), 471-486 (Elsevier BV)

openalex publication_date 2024/03/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Citations

• Mixing Qualitative and Quantitative Methods: Triangulation in Action
• Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making
• Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential
• ELIZA—a computer program for the study of natural language communication between man and machine
• Failing to Learn and Learning to Fail (Intelligently)
• On the reception and detection of pseudo-profound bullshit
• Fintech: Ecosystem, business models, investment decisions, and challenges
• Confronting indifference toward truth: Dealing with workplace bullshit
• Human Trust in Artificial Intelligence: Review of Empirical Research
• Is AI Ground Truth Really True? The Dangers of Training and Evaluating AI Tools Based on Experts’ Know-What
• Artificial intelligence and knowledge management: A partnership between human and AI
• Training language models to follow instructions with human feedback
• Artificial Intelligence and Management: The Automation–Augmentation Paradox
• Survey of Hallucination in Natural Language Generation
• Artificial Hallucinations in ChatGPT: Implications in Scientific Writing
• A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
• Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
• Experimental evidence on the productivity effects of generative artificial intelligence
• What fails and when? A process view of innovation failure
• To ChatGPT, or not to ChatGPT: Navigating the paradoxes of generative AI in the advertising industry

Cited by

• To ChatGPT, or not to ChatGPT: Navigating the paradoxes of generative AI in the advertising industry
• Rethinking How We Theorize AI in Organization and Management: A Problematizing Review of Rationality and Anthropomorphism
• (A)I Cannot See Them: A Situated Reflection on the Simulation of Historical Figures
• Superficially Plausible Outputs from a Black Box: Problematising GenAI Tools for Analysing Qualitative SoTL Data
• The impact of digital technologies and social media on the urban attractiveness of smart cities
• The trust crisis in artificial intelligence: AI hallucinations and human-AI collaboration
• Digital authenticity: Towards a research agenda for the AI-driven fifth phase of digitalization in business-to-business marketing
• Generative AI in Self-Directed Learning: a thematic scoping review
• Navigating Artificial Intelligence With Human Stupidity… and Vice Versa
• Beyond AI disclosure: Claim accountability and responsible research in scholarly publishing
• Beyond efficiency: Revisiting AI platforms, servitization and power relations from a critical perspective
• The expectations game: The contingent value of hype as a rhetorical strategy in resource mobilization processes among AI startups
• Chatbots in Cancer Applications, Advantages and Disadvantages: All that Glitters Is Not Gold. [europepmc]
• Artificial intelligence policies in bioethics and health humanities: a comparative analysis of publishers and journals. [europepmc]
• Generative AI/LLMs for Plain Language Medical Information for Patients, Caregivers and General Public: Opportunities, Risks and Ethics. [europepmc]
• Development and Evaluation of a Hallucination Awareness Scale for Healthcare Professionals and its impact on diagnostic confidence. [europepmc]

Discussions

• Check out the articles that coined the term 'botshit,' i.e., nonsensical AI-generated content that’s trusted and "used" by humans: doi.org/10.1016/j.bu... hbr.org/2024/07/the-... [bsky, 18 points, 1 comments]
• Das letzte Slide erinnert mich ein bisserl an die Argumente in dem Botshit Paper von 2024: Beware of botshit: How to manage the epistemic risks of generative chatbots. (doi.org/10.1016/j.bu...) [bsky, 2 points, 0 comments]