Artificial intelligence (AI) is rapidly changing the landscape of healthcare. From assisting in diagnosis to predicting patient outcomes, AI has the potential to improve healthcare delivery and patient care. However, as AI becomes more widespread, it raises ethical concerns that must be addressed, particularly in healthcare where patient well-being is at stake.
Ethical AI refers to the development and deployment of AI systems that prioritize fairness, transparency, accountability, and privacy. These systems must ensure that their decision-making processes are free from bias and that they handle patient data with the highest standards of privacy and security.
For example, AI algorithms used in healthcare should be trained on diverse datasets to avoid biased decisions that could negatively affect patient outcomes. Similarly, the data used to train AI systems must be handled ethically, ensuring that patient privacy is protected at all times.
At Acoer, we are committed to building AI systems that adhere to ethical standards. Our AI solutions, such as the Cancer Trials AI Companion, are designed to provide healthcare providers with transparent, fair, and accurate insights while prioritizing patient privacy. By using decentralized AI models, we ensure that sensitive healthcare data remains secure and is used responsibly.