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Ethical Considerations in the Application of Artificial Intelligence to Monitor Social Media for COVID-19 Data.
Flores, Lidia; Young, Sean D.
  • Flores L; Department of Emergency Medicine, University of California, Irvine, CA USA.
  • Young SD; Department of Emergency Medicine, University of California, Irvine, CA USA.
Minds Mach (Dordr) ; 32(4): 759-768, 2022.
Article in English | MEDLINE | ID: covidwho-2014296
ABSTRACT
The COVID-19 pandemic and its related policies (e.g., stay at home and social distancing orders) have increased people's use of digital technology, such as social media. Researchers have, in turn, utilized artificial intelligence to analyze social media data for public health surveillance. For example, through machine learning and natural language processing, they have monitored social media data to examine public knowledge and behavior. This paper explores the ethical considerations of using artificial intelligence to monitor social media to understand the public's perspectives and behaviors surrounding COVID-19, including potential risks and benefits of an AI-driven approach. Importantly, investigators and ethics committees have a role in ensuring that researchers adhere to ethical principles of respect for persons, beneficence, and justice in a way that moves science forward while ensuring public safety and confidence in the process.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Minds Mach (Dordr) Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Minds Mach (Dordr) Year: 2022 Document Type: Article