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Artificial intelligence governance in healthcare – use-cases, ethical concerns, and trends (CROSBI ID 719602)

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Protrka, Nikola Artificial intelligence governance in healthcare – use-cases, ethical concerns, and trends // XVIII International Convention on Quality JUSK ICQ - 2022 Beograd, Srbija, 07.06.2022-09.06.2022

Podaci o odgovornosti

Protrka, Nikola

engleski

Artificial intelligence governance in healthcare – use-cases, ethical concerns, and trends

Artificial intelligence (AI) applications are rapidly developing, notably in the healthcare business. Technology corporations, data science firms, researchers, and entrepreneurs are all working to develop predictive and prescriptive algorithms for better diagnostic and treatment suggestions. According to Gartner, by 2021, 75% of healthcare delivery organisations (HDOs) will have invested in AI that is directly boosting operational performance or clinical outcomes. The more activity surrounding AI in healthcare, the more HDOs will be required to implement AI governance. AI is anticipated to be implemented into normal clinical care in the near future as the usefulness of AI in enhancing parts of healthcare delivery becomes more apparent. This potential has prompted increased interest and investment in AI medical applications from both government agencies and private firms. However, some people are concerned about the ethical and regulatory implications of using AI in health care. These concerns include the likelihood of biases, a lack of transparency with certain AI algorithms, privacy problems with data used to train AI models, and safety and liability concerns with AI use in healthcare settings. While there has been a lot of talk about the ethics of AI in health care, there hasn't been much debate or advice about how to handle these problems in practise. World Health Organization (WHO) recently issues first global report on AI in health and six guiding principles for its design and use, and it is the result of 2 years of consultations held by a panel of international experts appointed by WHO. To limit the risks and maximize the opportunities intrinsic to the use of AI for health, WHO provides the following principles as the basis for AI regulation and governance: • Protecting human autonomy. • Promoting human well-being and safety and the public interest. • Ensuring transparency, explainability and intelligibility. • Fostering responsibility and accountability. • Ensuring inclusiveness and equity. • Promoting AI that is responsive and sustainable. These principles will guide future WHO work to support efforts to ensure that the full potential of AI for healthcare and public health will be used for the benefits of all.

artificial intelligence ; governance ; healthcare ; World Health Organization, AI

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Podaci o skupu

XVIII International Convention on Quality JUSK ICQ - 2022

ostalo

07.06.2022-09.06.2022

Beograd, Srbija

Povezanost rada

Informacijske i komunikacijske znanosti, Računarstvo, Sigurnosne i obrambene znanosti