AI & ethics in cancer care

ICPC supports an ethical approach to AI aligned with the 2020 Rome Call for AI Ethics, advocating for AI development that prioritizes human dignity, shared global responsibility, and the well-being of all, especially the most vulnerable, over profit or automation.

ICPC supports an ethical approach to artificial intelligence and endorses the principles of the 2020 Rome Call for AI Ethics. The idea behind this commitment is to promote a sense of shared responsibility among international organizations, governments, institutions, and technology companies. This collective effort aims to create a future where digital innovation and technological progress prioritize the individual.

The signatories of the Rome Call committed to developing artificial intelligence that serves every person and humanity as a whole. This includes respecting the dignity of the human person, ensuring that technological advancements benefit everyone, and avoiding goals that focus solely on profit or the gradual replacement of people in the workplace.

Watch the video below to hear Dr. Ilona Schelle highlighting ethical considerations in cancer treatment, emphasizing patient rights and transparent decision-making.

While AI offers enormous potential for improving social coexistence and personal well-being, these positive advantages can only be realized if the technology is researched and developed according to criteria that ensure it serves the entire human family. This includes respecting the inherent dignity of each person and particularly considering the needs of the most vulnerable.

ICPC emphasizes that in its work, no one should be excluded. All stakeholders must work together, acknowledging and accepting responsibilities that encompass the entire process of technological innovation. By doing so, ICPC aims to ensure that AI development aligns with ethical principles and benefits humanity as a whole.

Listen to Dr. Karim Lekadir’s valuable insights in the video below, where he discusses the role of artificial intelligence in healthcare, addressing challenges like data needs, validation, and trustworthy AI tools.



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