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Artificial Intelligence in Healthcare
Social responsibility
​This paper addresses:
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Advances in AI -Electronic health records that can be accessed by all patient's care givers. Advances in genome mapping
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Advantages of AI - cost reduction, efficiency and speed of diagnoses
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Ethical implications of AI - Data breaches that can be accessed by unauthorized people can be manipulated
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Dangers - Information bias can lead to misdiagnoses and errors
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Government responsibility to protect the public from breaches and misuse of data
Intersectionality
Social Equity
This paper demonstrates complexities in:
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Discrimination - different identities that are unique to a person can experience different types of discrimination from different sources. They identities cannot be isolated
- Biases - can be experienced from within a groups that identifies with one or more of a person's identity
- Internal and external factors affecting identity
- Social equity and specifically pay equity can increase market contribution and reduce poverty.
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