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WHO lays down guidelines for AI use in healthcare"

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WHO lays down guidelines for AI use in healthcare"

  • "WHO has enlisted the key principles that must be followed while using artificial intelligence (AI) and other emerging technologies in healthcare.

  • The report titled ‘Ethics and governance of artificial intelligence for health’ is a first comprehensive handbook of its kind, and has been curated by over twenty global experts over the course of two years.

About:

  • WHO recently issued its first global report on artificial intelligence in healthcare and six guiding principles for its design and use.
  • The report titled ‘Ethics and governance of artificial intelligence for health’ has been published after two years of consultations held by a panel of international experts appointed by WHO.
  • According to the new WHO guidelines, AI promises to improve healthcare and medicine delivery, but only when ethics and human rights are put at the heart of its design, deployment and use.

The six guiding principles:

  1. Promoting human well-being and safety and the public interest: Designers of AI systems should ensure that technologies are built in a way that they fulfil regulatory standards for safety, accuracy, and efficacy for clearly defined and predetermined purposes.
  2. Ensuring transparency, explainability and intelligibility: The effectiveness of a new AI technology relies heavily on the extent to which it is disclosed or documented before use.
  3. Fostering responsibility and accountability: While AI technologies are designed to perform specific tasks, stakeholders are obligated to take measures to guarantee they are employed correctly and by appropriately qualified individuals.
  1. Protecting human autonomy: Control of healthcare systems and medical decisions should remain in control of humans; privacy and confidentiality of patients must be maintained;
  2. Ensuring inclusiveness and equity: AI for health should promote inclusiveness and encourage fair use and access across the board– regardless of age, sex, gender, income, race, ethnicity, sexual orientation, ability, or other characteristics protected under human rights codes.
  3. Promoting AI that is responsive and sustainable: Everyone — designers, developers, and end-users — should monitor how AI performs during actual use to ensure it fulfils expectations and requirements.

Challenges and risks of AI in healthcare:

  1. Unethical collection and use of health data
  2. Biases encoded in algorithms
  3. Risks of AI to patient safety, cybersecurity, and the environment.

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