Trust and risk: the case of mHealth apps
A recap of Prof. Daniele Chiffi's EthixSeries talk about the nature of trust in AI and medicine
mHealth apps are on the rise, offering a wealth of affordances. These benefits range from enhancing remote monitoring – allowing patients to conveniently track health data from anywhere – to facilitating more personalized and accessible care, and empowering patients with valuable insights into their well-being, promoting a proactive approach to health management.
However, crucial questions remain: how can we trust AI and algorithms? Can we ensure the reliability and accuracy of these algorithms? And are these technologies accessible and equitable for all?
To address these concerns, Professor Daniele Chiffi from Politecnico di Milano visited us to share his research applying knowledge and risk analysis to the field of philosophy of technology and medicine. Following a presentation of his conceptual work on risk in the philosophy of technology and the philosophical foundations of AI, he provided case examples and applications of his theoretical framework, specifically focusing on apps used for diabetes management.
In summary, Professor Chiffi's talk explored the conceptual problem of trustworthy AI, proposed a philosophical framework for trust and risk in AI, and then demonstrated how this framework can be applied to assess mHealth apps.
To listen to the conclusion and the full discussion, check out our YouTube channel: external page https://youtu.be/KN-_gwZhY-M?feature=shared
