Publication
Infringement risk relating to creation and use of the output of a generative AI system
Where the Output of a generative AI system is the same or substantially similar to a third party’s copyright work
Structured finance and securitization 2017
The issues that appeared to attract the most attention in the US securitization industry during 2016 were (I) the Regulation AB II asset-level disclosure requirements for all asset types other than residential mortgage loans (that became subject to the Regulation AB II asset-level disclosure requirements during 2015), which became effective in November 2016 for registered offerings of asset-backed securities; and (ii) the risk retention requirements, which became effective for both registered and unregistered asset-backed securities offerings on 24 December 2016. While the collateralised loan obligation market has been focused on complying with the risk retention requirements for the last few years, it seemed that 2016 was when the commercial mortgage-back securities (CMBS) market started to focus intently on the risk retention requirements.
Read the full article: Structured finance and securitization 2017
Accreditation
We would of course encourage you to share your published works as widely as possible to showcase your expertise to your key clients. If you would like to post the PDF and eBook on your website or blog, then we would only ask that you use the following accreditation:
Reproduced with permission from Law Business Research Ltd. Getting the Deal Through: Structured Finance & Securitisation 2017, (published in March 2017; contributing editor: Patrick D Dolan, Norton Rose Fulbright LLP) For further information please visit Getting The Deal Through.
Recent publications
Publication
Is the output of the generative AI system protected by intellectual property rights?
The approach and requirements for intellectual property rights to subsist in computer-generated works vary from jurisdiction to jurisdiction.
Publication
Infringement risk relating to training a generative AI system
Generative AI systems are trained using vast amounts of data, often taken from sources in the public domain that may be protected by copyright or other intellectual property rights, such as, in the UK and EU, a database right.
Subscribe and stay up to date with the latest legal news, information and events . . .