An interactionist studying Human-AI teaming in decision making; Assoc. Professor of Human-AI Interaction and DSS @ University of Milano-Bicocca, Italy.
Milan, Lombardy
Joined May 2017
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However, I'd rather argue for an AI-decentered humanity...
linkedin.com/pulse/debunking…
What would you do with ~800k de-identified newborn screening records + 100 biomarkers (nearly a decade, Lombardy 🇮🇹)?
New open-access Scientific Data descriptor + dataset + code. Any idea for early detection & data curation?
Paper/dataset: nature.com/articles/s41597-0…
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What is the effect of pre-LLM AI on hard clinical endpoints? In 47 RCTs, CDSS in EHRs show little impact on mortality and modest benefits on morbidity. Will LLMs do better? We will see. doi.org/10.1016/j.ijmedinf.2…
Thanks to IRCCS Galeazzi, @unimib and all co-authors.
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Very good source of clear and useful insights on creativity and IP in the era of genAI, by @simonealiprandi
I just signed the Statement on Superintelligence, because the only singularity I'm worried about is the expertise's one.
Let's take the future back from Big Tech. #KeepTheFutureHuman
superintelligence-statement.…
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"We are now designers of thought systems, not just writers. The result isn’t a page of prose, but a kind of cognitive orchestration that combines machine fluency and human judgment. "
psychologytoday.com/us/blog/…
"The findings reinforce a key truth: educational systems must not only teach students how to use AI—but when to not use it."
psychologytoday.com/us/blog/…
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What is machine mentoring? It happens when AI teaches us something just by working with us, providing recommendations, or collaborating in decision-making. It can shape our skills, sometimes in ways we don’t fully realize. /1
In this paper, we show that AI can transmit biases—but in another study (in preparation), we explore how it can also transfer useful knowledge that we wouldn't have discovered otherwise.
authors.elsevier.com/c/1kg24…
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"Unser Schreibzeug arbeitet mit an unseren Gedanken" F. Nietzsche
In one of the few letters Nietzsche wrote on a typewriter, anticipating Marshall McLuhan, Nietzsche stated, “Our writing tools are also working on our thoughts.” thereader.mitpress.mit.edu/h…
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🎥 My TEDx Talk at Teatro Dal Verme, Milan, is now on YT! A tough nut to crack, but worth it: I spoke about Hybrid Intelligence to build a more responsible partnership with AI in work and daily life.
📌 Watch here: youtube.com/watch?v=zK7KkeM-…
#TEDx #AI #HybridIntelligence
Are our faces revealing too much?
Explore the challenges in bias, privacy, and cultural missteps of Facial Emotion Recognition tech in a new #OA on MAKE @MDPIOpenAccess
Check out the full paper here: mdpi.com/2504-4990/6/4/109
"The real question is not whether machines think but whether we do. The mystery which surrounds a thinking machine already surrounds a thinking human."
Burrhus Frederic Skinner in Contingencies of Reinforcement: A Theoretical Analysis (p.265, 1969)
Just got notified that this article ( atm.amegroups.org/article/vi…) surpassed 5,000 reads!
Glad to see some of its ideas spreading, like *technovigilance*: the continuous monitoring of AI-powered medical software (SaMD) to catch performance drops and data drifts.
"The text is a tissue [cf texere] of quotations drawn from innumerable centres of culture" (Roland Barthes)
HT @David_Gunkel
Ted Chiang @NewYorker:
"Language is, by definition, a system of communication, and it requires an intention to communicate."
Roland Barthes: "Death of the Author" (1967).
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But similar to what?
Similarity metrics are key in #ML and #AI, but do they really measure similarity as humans know it?
Find out: link.springer.com/chapter/10…
Beyond black & white! ⚫⚪
New #OA Article alert! A systematic review on how Three-Way Decision Theory can enhance ML in weak supervision, data management, and uncertainty quantification.
@DCiucci @AndreaCampagner
@fridamilella link.springer.com/article/10…
#MachineLearning #AI
You reap what you sow. If you talk about AI as a thing, even an abstract entity, and not as a set of computational techniques, that thing will be regulated, not the applications.
- Regulators should regulate applications, not technology.
- Regulating basic technology will put an end to innovation.
- Making technology developers liable for bad uses of products built from their technology will simply stop technology development.
- It will certainly stop the distribution of open source AI platforms, which will kill the entire AI ecosystem, not just startups, but also academic research.
- the strangest aspect of all this is that all of these regulations are based on completely hypothetical science fiction scenario that very, very few people in the field are plausible.