Ethical Considerations, Prompt Management and Linguistic Challenges in ChatGPT’s Responses to Controversial Topics: A Comparative Analysis of GPT-3.5 and GPT-4.0 in the Case Study on Sex Robot Influencers
This comparative academic study explores how ChatGPT-3.5 and ChatGPT-4.0 handle controversial topics, linguistic challenges, and prompt management, using the case study of sex robot influencers. Through a series of tailored prompts, the research evaluates the models' willingness to engage with explicit and sensitive subjects while adhering to OpenAI's ethical guidelines. The findings demonstrate that ChatGPT-3.5 takes a cautious approach by frequently declining direct engagement, whereas GPT-4.0 offers more nuanced yet occasionally inaccurate responses. Ultimately, the article highlights the importance of prompt engineering and ethical considerations when deploying generative AI for complex discussions.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers, developers, and ethicists interested in understanding how large language models navigate prompt engineering and ethical constraints on controversial topics.
What the document contains
The article covers a comparative analysis of ChatGPT-3.5 and ChatGPT-4.0 regarding their responses to controversial and sensitive subjects, using sex robot influencers as a case study. It details the methodologies of prompt management, linguistic adjustments, and chatbot evaluation frameworks.
The document does not provide binding regulatory standards, legal enforcement mechanisms, or direct corporate policy guidelines from OpenAI.
- ChatGPT-3.5 and ChatGPT-4.0 exhibit distinct behavioral patterns when responding to controversial topics, with version 3.5 being more cautious and version 4.0 offering more nuanced responses.
- Both models prioritize OpenAI's ethical guidelines by steering conversations away from explicit content and toward broader societal and ethical implications.
- Prompt phrasing and linguistic adjustments significantly influence whether large language models engage with sensitive subjects or decline to answer.
- Framing controversial inquiries within a scientific or academic context increases the likelihood of receiving substantive responses from the models.
- Generative AI models still present limitations and factual inaccuracies when addressing niche or emerging controversial topics like sex robot influencers.
1. Introduction 2. Chatbots and Human-Computer Interaction (HCI) 3. Evaluation of chatbots 4. Introducing ChatGPT 5. Prompts 6. Methodology 7. Outcomes of the research 8. Conclusions 9. Limitations and Future Directions
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
As indicated by Kriebitz et al. (2024) applied AI ethics focuses on the practical implementation of ethical principles, ensuring that technologies like GPT models and sex robots are designed and used responsibly, addressing real -world issues such as privacy, consent, accountability, and societal impact.
1. Introduction
screening score · 2026-10-23
Human Dignity
2/5Respect for the inherent worth of persons
The AI4People ethical framework emphasizes the need for AI systems, which can also refer to GPT models and sex robots, to align with principles such as beneficence, non -maleficence, autonomy, justice, and explicability to ensure their development and deployment promote societal well-being and respect human dignity
1. Introduction
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
1. Introduction
screening score · 2026-10-23
Privacy
2/5Protection of personal data and private life
The deployment of generative AI like GPT raises crucial ethical considerations, including ensuring transparency in decision -making, mitigating biases in generated content, and addressing data privacy concerns.
1. Introduction
screening score · 2026-10-23
Transparency
2/5Openness about how AI systems work and are used
The deployment of generative AI like GPT raises crucial ethical considerations, including ensuring transparency in decision -making, mitigating biases in generated content, and addressing data privacy concerns.
1. Introduction
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Abstract
screening score · 2026-10-23
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
The deployment of generative AI like GPT raises crucial ethical considerations, including ensuring transparency in decision -making, mitigating biases in generated content, and addressing data privacy concerns.
1. Introduction
screening score · 2026-10-23