Publication
L’IA générative
L’intelligence artificielle (IA) soulève de nombreuses questions en matière de propriété intellectuelle (PI).
Mondial | Publication | November 2016
There is much excitement globally about smart contracts and distributed ledger technologies that support them. Properly funded technology vendors and consortia have emerged which are now able to give tangible expression to that sense of excitement in the form of new and innovative smart contract and distributed ledger products and services.
It has become apparent to us, however, that when industry stakeholders (both buyers of the new technologies and vendors) speak of smart contracts, they can mean very different things. As any contracts lawyer will tell you, words matter. Consistency of language is vital if clear lines of communication are to be achieved in a rapidly evolving industry. What do we mean by a smart contract? Is it smart? Is it a contract? Do lawyers and technologists understand each other when they use these terms?
Recognising the imperative for clarity on these issues, R3 and Norton Rose Fulbright offer this White Paper as a step forward in forging a consensus of understanding between industry stakeholders, lawyers and technologists in relation to smart contracts.
The White Paper considers whether a smart contract can constitute a legally binding contract under the law of a number of key jurisdictions. It also examines the practicalities of enforceability and provides some suggestions for dispute resolution within a smart contract context.
Publication
L’intelligence artificielle (IA) soulève de nombreuses questions en matière de propriété intellectuelle (PI).
Publication
Depuis 2022, le gouvernement du Canada a apporté trois vagues de modifications à la Loi sur la concurrence (Loi), apportant des modifications importantes aux lois canadiennes sur la concurrence, les plus récentes modifications ayant reçu la sanction royale le 20 juin 2024. Notre publication sur toutes les modifications se trouve ici.
Publication
Les systèmes d’IA générative sont entraînés au moyen de gros volumes de données, souvent tirées de sources du domaine public qui peuvent être protégées par le droit d’auteur ou d’autres droits de propriété intellectuelle, comme un droit sur les bases de données au Royaume-Uni et dans l’UE.
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