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Ethical AI in Orthodontic Research

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Ethical AI in Orthodontic Research

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About this activity

AI ethics in research

Created by

Yomna M.Y.
Yomna M.Y.
Egypt

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Ethical AI in Orthodontic Research
 

Ethical AI in Orthodontic ResearchOnline version

AI ethics in research

by Yomna M.Y.
1

Which practice best protects participant data in AI research?

2

What reduces bias in AI models for research?

3

Who typically owns AI-generated research outputs?

4

What is essential for transparency in AI in clinical research?

5

What practice supports responsible AI reporting?

6

Which risk is most associated with AI on imaging data?

7

Which step helps mitigate bias after deployment?

8

Can AI-generated content be copyrighted?

9

Is broad consent sufficient for all AI research use?

10

What should be disclosed about data sources?

Feedback

De-identification protects privacy; avoid exposing identifiable data.

Diverse data and audits help identify and minimize bias.

Ownership hinges on policy, funder, and agreements; vary by jurisdiction.

Clear documentation enables replication and critique.

Honest reporting prevents overclaiming AI findings.

Even de-identified images can reveal identities via features.

Ongoing monitoring reveals real-world bias.

Copyright varies; often requires human authorship.

Dynamic consent and clear scope are needed for evolving AI use.

Provenance and consent status ensure ethical data use.

 
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