Ethical Considerations in AI-Driven Humanities Research
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Description
This exam evaluates ethical considerations related to AI in humanities research, emphasizing responsible methodologies and academic integrity in scholarly practice.
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Exam Details
Duration: 50 minutes
Prerequisites: Ethics In Research, Digital Humanities Foundations
Key Topics
- Ethics
- AI Technologies
- Research Integrity
- Responsible Methodologies
Learning Outcomes
- Articulate Ethical Implications
- Discuss Responsibilities of Researchers
- Analyze Case Studies
Full Description
This exam focuses on the ethical dimensions of using AI in humanities research. Candidates will analyze the implications of employing AI technologies and the responsibilities of scholars in addressing related ethical dilemmas.
As AI continues to advance, understanding the ethical landscape becomes essential for humanities scholars. The potential for bias, misrepresentation, and privacy concerns necessitates a thoughtful approach to AI-integrated research practices.
Candidates will be assessed on their ability to articulate the ethical considerations surrounding AI methodologies, demonstrating a comprehensive understanding of their impact on academic integrity and research ethics.
Candidates may also discuss frameworks for responsible AI usage in the humanities, emphasizing the importance of integrity and transparency in scholarly work.
Sample Questions
- What ethical challenges arise from the use of AI in humanities research?
- How can scholars ensure transparency in AI-driven research processes?
Field: Humanities
Subfield: Digital Humanities
Specialization: Artificial Intelligence in Humanities
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