Insights

This is an invite-only client event.

Would you replace a human news anchor by synthetic animation? Would you use AI-generated music for a commercial, for a documentary or for a feature film? Would you have an AI tool write a first draft of an article or, inversely, edit and correct human copy? Would you have an AI make the first selection of among hundreds of scenarios? Or would you trust it to pick the ingredients for a hit series? Would you let an AI make trailers and thumbnails of a new series for the socials? Would you have your subscribers chat to an AI to process their complaints?

Please join us for a series of panels that will discuss and address the cutting-edge issues in technology impacting in-house legal teams navigating commercial risk and enforcement. This program will tackle important issues from Artificial Intelligence (AI) to antitrust, and from privacy issues to SEC regulatory schemes. Moreover, we recognize that many of the current, as well as future issues have an international component. Our presenters will provide companies with critical information not just on U.S. law and issues, but also touch button issues in Asia and Europe.

In this webinar, we will start with a general overview of the AI Act, the first horizontal legislation worldwide to regulate the safety of AI-systems, before moving to a few focal points.

In the fourth installment of the series, our speakers will cover the legal and regulatory landscape surrounding the use of AI technology. This landscape spans from the AI Act in the EU to the complex legal framework in the US, where the executive, legislative, and judicial branches of the federal and state governments are having their say.

In collaboration with IBJ
With ChatGPT 4, the world saw for the first time what AI-powered chatbots are capable of: writing a love poem, drafting a geography presentation or explaining the principles of patent law so a 4 year old can understand, anything seems within reach. No wonder that time-strapped workers would consider outsourcing part of their assignments to these user-friendly robots.
However impressive the technology, organisations are reluctant to adopt AI-based solutions for gathering information and generating new content, such as logo’s, texts or images. The data set used to train the algorithms are notoriously unknown, the output may be unreliable or infringing third party rights.