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AI and Ethics
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November 18, 2021
Public acceptance and perception of autonomous vehicles: a comprehensive review
Kareem Othman
AI and Ethics
|
November 18, 2021
Methodology for integrating artificial intelligence in healthcare systems: learning from COVID-19 to prepare for Disease X
Petar Radanliev, David De Roure, Carsten Maple, et al.
AI and Ethics
|
November 22, 2021
The road to a human-centred digital society: opportunities, challenges and responsibilities for humans in the age of machines
David De Cremer, Devesh Narayanan, Andreas Deppeler, et al.
AI and Ethics
|
October 25, 2022
Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
Ronny Bogani, Andreas Theodorou, Luca Arnaboldi, et al.
AI and Ethics
|
January 12, 2026
DeepSeek for healthcare: do no harm?
James Anibal, Steven Bedrick, Hang Nguyen, et al.
AI and Ethics
|
December 22, 2025
Fostering an enabling environment for health AI innovation and scale: The need for tailored ethics training for innovators in low- and middle-income countries
Raffaele Joseph, Liya Wassie, Hailemichael Getachew, et al.
AI and Ethics
|
September 22, 2025
What is the patient re-identification risk from using de-identified clinical free text data for health research?
Elizabeth Ford, Simon Pillinger, Robert Stewart, et al.
AI and Ethics
|
June 7, 2022
Operationalising AI governance through ethics-based auditing: an industry case study
Jakob Mökander, Luciano Floridi
AI and Ethics
|
June 27, 2022
Confucius, cyberpunk and Mr. Science: comparing AI ethics principles between China and the EU
Pascale Fung, Hubert Etienne
AI and Ethics
|
November 21, 2022
All that glitters is not gold: trustworthy and ethical AI principles
Connor Rees, Berndt Müller
Page
of 9
Search research articles
Search
Showing results (1-10 of 82) with videos related to
Sort By:
Page
of 9
AI and Ethics
|
November 18, 2021
Public acceptance and perception of autonomous vehicles: a comprehensive review
Kareem Othman
AI and Ethics
|
November 18, 2021
Methodology for integrating artificial intelligence in healthcare systems: learning from COVID-19 to prepare for Disease X
Petar Radanliev, David De Roure, Carsten Maple, et al.
AI and Ethics
|
November 22, 2021
The road to a human-centred digital society: opportunities, challenges and responsibilities for humans in the age of machines
David De Cremer, Devesh Narayanan, Andreas Deppeler, et al.
AI and Ethics
|
October 25, 2022
Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
Ronny Bogani, Andreas Theodorou, Luca Arnaboldi, et al.
AI and Ethics
|
January 12, 2026
DeepSeek for healthcare: do no harm?
James Anibal, Steven Bedrick, Hang Nguyen, et al.
AI and Ethics
|
December 22, 2025
Fostering an enabling environment for health AI innovation and scale: The need for tailored ethics training for innovators in low- and middle-income countries
Raffaele Joseph, Liya Wassie, Hailemichael Getachew, et al.
AI and Ethics
|
September 22, 2025
What is the patient re-identification risk from using de-identified clinical free text data for health research?
Elizabeth Ford, Simon Pillinger, Robert Stewart, et al.
AI and Ethics
|
June 7, 2022
Operationalising AI governance through ethics-based auditing: an industry case study
Jakob Mökander, Luciano Floridi
AI and Ethics
|
June 27, 2022
Confucius, cyberpunk and Mr. Science: comparing AI ethics principles between China and the EU
Pascale Fung, Hubert Etienne
AI and Ethics
|
November 21, 2022
All that glitters is not gold: trustworthy and ethical AI principles
Connor Rees, Berndt Müller
Page
of 9