Ethical AI & Academic Integrity Crossword Puzzle

QUESTIONS LIST:

• plagiarism : using someone else's work or ai-generated content without proper attribution.
• citation : a reference to the source of information, ensuring academic integrity.
• bias : a tendency of ai models to favor certain viewpoints or demographics due to training data.
• transparency : the practice of making ai processes and decision-making understandable to users.
• ethics : moral principles that guide the responsible use of ai in academia and beyond.
• misinformation : false or misleading information, sometimes generated by ai without intent to deceive.
• disinformation : deliberately false information, often spread to mislead others.
• attribution : giving proper credit to sources, including ai-generated content.
• machine learning : a subset of ai where systems learn from data without explicit programming.
• hallucination : when an ai model generates false or misleading information as if it were true.
• generative ai : ai systems that create new content, such as text, images, or code.
• integrity : adhering to ethical and academic standards when using ai tools.
• disclosure : informing others when ai-generated content has been used in academic work.
• verification : the process of checking the accuracy of ai-generated content before use.
• automation : using ai to perform repetitive tasks efficiently without human intervention.