By Peter Singer. Karl Marx wrote, with Hegel in mind: “if a philosopher really has compromised, it is the job of his followers to use the inner core of his thought to illuminate his own superficial expressions of it.” That expresses well the attitude of the Young Hegelians, of whom Marx was one, and who, […]
Category: Artificial intelligence
Is that what I think like?
By Sankalpa Ghose. What does it mean for a philosopher, or really anyone, to be represented by an artificial intelligence? In creating PSai (available now at www.petersinger.ai), this naturally arises as a curiosity and a consideration. As related in “A Representative Interview with Peter Singer AI” – just published in Cambridge Quarterly of Healthcare Ethics […]
Do philosophers stand in the way of their own philosophy?
By Matti Häyry. I recently interviewed Peter Singer AI – that is to say, philosopher Peter Singer’s digital representation petersinger.ai, created by Sankalpa Ghose and available online. After the interview with the bot, I asked Peter Singer himself what he thought about the answers. His response revealed an interesting tension. For me, the experience was […]
Should artificial intelligence guide surrogate decisions in healthcare?
By Marco Annoni. Artificial intelligence (AI) may soon be able to predict which treatments a patient would prefer to receive—or refuse. Among the many applications of AI in healthcare, one of the most promising is its potential to support substitute decision-making. Substitute decisions are required when patients lack the capacity to make informed decisions for […]
To succeed as an innovation hub, we need ground rules for ethical use of AI tools
By Sebastian Porsdam Mann, Brian D Earp and Julian Savulescu. Republished with permission from the Straits Times After a severe bout of Covid-19, a colleague, Sumeeta, found herself facing an unexpected challenge. Despite her intact verbal intelligence and reasoning skills, she suddenly struggled with the mechanics of writing. Constructing grammatical sentences and coherent paragraphs now […]
Could XAI harm patients in time-sensitive environments?
By Andreas Wabro. Achieving transparency and interpretability of algorithmic predictions remains an important research goal for many AI experts around the world. In particular, the epistemic benefits of explainable AI (XAI) methods have been widely discussed, and especially in the context of healthcare, international institutions and academic experts often call for measures to improve physicians’ […]
Beyond the robot apocalypse
By Nancy S. Jecker, Caesar A. Atuire, Jean-Christophe Bélisle-Pipon, Vardit Ravitsky, Anita Ho. In Christopher Nolan’s film, Oppenheimer, the protagonist frets that unleashing atomic energy will forever alter the world, making humankind’s annihilation possible. Some philosophers and many tech leaders fret AI has similar prospects –it imperils “humankind as a whole,” writes Nick Bostrom, and […]
Can artificial intelligence serve as an ethical decision-maker within committees?
By Kannan Sridharan & Gowri Sivaramakrishnan. Artificial intelligence is widely being used in recent years in the health care industry. These systems learn to perform tasks that are commonly associated with human cognitive functions such as identifying patterns. Typically, these systems process massive amounts of data and look for patterns to model in their own […]
Musings on artificial intelligence, fairness and conceptions of justice to help with implementation considerations
By Michal Pruski. I am currently undertaking a mixed-methods project which is looking at barriers and facilitators to the adoption of machine learning in Wales with respect to value-based healthcare – focusing on the potential application of artificial intelligence (AI) to patient reported outcome measures (often known as PROMs). The project is in the early […]
Should we use AI to detect doping?
By Sebastian Jon Holmen, Thomas Søbirk Petersen and Jesper Ryberg. Artificial intelligence (AI) is now widely employed by both private and state actors to aid them in attaining their goals more efficiently. AI is, for example, already being employed to catch tax evaders and to identify persons at risk of developing certain types of cancer, […]