Ethical issues cannot be limited to models: they must extend to the creation of the data that drives them, i.e. to all of our online behavior. […] We generally focus on the direct reception of our messages, but we must bear in mind that we contribute indirectly – through the models we train – to answering our contemporaries’ questions, writing their texts, teaching students, guiding policies, etc.
Archives de l’étiquette : collective intelligence
Are social networks and AI responsible for our misfortunes?
For more than thirty years, the majority of journalists, politicians, teachers, and all those who shape opinion have not stopped denouncing the dangers of computing, then of the Internet, and now of artificial intelligence. I would do nothing very useful if I added my lamentations to theirs.
Towards Reasonable Agents
How can we graft symbolic encoding and decoding capabilities onto a neural model that can initially only recognize and generate sensory forms or aggregates of signifiers? This challenge is reminiscent of the process of hominization – when biological neural networks became capable of manipulating symbolic systems – which is not to my displeasure.
Artificial Intelligence at the Service of Collective Intelligence
My wish is for a digital memory that will enable us to cultivate diverse and fertile ecosystems of ideas and reap the maximum benefits for human development.
IEML in Global Medical Communication
What is IEML ? IEML – Information Economy Meta Language – is a mathematical language with the same expressive power as a natural language. It has a dictionary of 3000 concepts plus a regular grammar allowing to build recursively an infinity of sentences representing concepts and relations. Properties 1 and 2 make IEML the mostLire la suite « IEML in Global Medical Communication »
Semantic Computing with IEML
IEML has the expressive power of a natural language, and it is also an algebra. Its semantics are computable!
Semantics, artificial intelligence and collective intelligence
How does language work? On the receiving end, we hear a sequence of sounds that we translate into a network of concepts. This is what we call « understanding the meaning » of a statement we hear. On the transmit side, we have in mind a network of concepts – a meaning to be conveyed – that we translate into a sequence of sounds.
Collective Intelligence Today
Collective Intelligence in 1994 When I published « Collective Intelligence » in 1994, the WWW did not exist (you won’t find the word « web » in the book) and less than one percent of the world’s population was connected to the Internet. A fortiori, social media, blogs, Google and Wikipedia were still well hidden in the realm ofLire la suite « Collective Intelligence Today »
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