Ethical Considerations And Challenges With AI In Healthcare
0Artificial Intelligence (AI) has immense potential to revolutionize healthcare and improve patient outcomes. However, as with any new technology, there are important ethical considerations and challenges that need to be addressed in order to ensure that AI is used in a responsible and ethical manner in the healthcare industry.
One of the main ethical concerns with the use of AI in healthcare is patient privacy and data security. The vast amounts of patient data that AI systems rely on can include sensitive personal information. Therefore, it's important to make sure that this information is appropriately secured and that data breaches and misuse of patient data are prevented.
Another challenge with AI in healthcare is the potential for bias and discrimination. AI algorithms learn from existing data, which can include biases or inequalities. Without addressing these biases, AI systems can perpetuate unfair treatment or even harm certain groups of patients.
AI, healthcare, ethics, patient privacy, data security, bias, discrimination, patient treatment, transparency, accountability
#AIinHealthcare #EthicsinHealthcare #PatientDataPrivacy
Key Moments:
0:00:00 Introduction
0:00:25 Patient Privacy and Data Security
0:00:46 Bias and Discrimination
0:01:12 Transparency and Accountability
0:01:38 Conclusion