X-CGP-ClamAV-Result: CLEAN X-VirusScanner: Niversoft's CGPClamav Helper v1.23.2 (ClamAV engine v0.103.2) From: "Cliff Lynch cliff@cni.org" Sender: To: CNI-ANNOUNCE Date: Sun, 19 Sep 2021 10:00:30 -0400 Message-ID: X-Original-Return-Path: Received: from [73.193.181.76] (account clifford@cni.org HELO [192.168.1.16]) by cni.org (CommuniGate Pro SMTP 6.2.7) with ESMTPSA id 38448127 for cni-announce@cni.org; Sat, 18 Sep 2021 22:42:05 -0400 X-Original-Date: Sat, 18 Sep 2021 22:42:05 -0400 X-Original-To: cni-announce@cni.org X-Original-Message-ID: <20210918224205083588.369ecce1@cni.org> Subject: US Copyright Office Session on Machine Learning and Copyright, October 26, 2021 MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit X-Mailer: GyazMail version 1.6.5 The US Copyright Office, in partnership with the Patent and Trademark Office, is convening (apparently both via Zoom and in person), a session on the interactions between copyright law and machine learning/artificial Intelligence. This is an interesting and very poorly understood or explored area, and the discussions should be very timely. I don't know if these are going to be recorded for subsequent viewing. Information on the session, which is free but requires advanced registration, can be found at https://copyright.gov/events/machine-learning/ Clifford Lynch Director, CNI