From: "Cliff Lynch cliff@cni.org" Sender: To: CNI-ANNOUNCE Date: Wed, 02 Oct 2019 14:38:00 -0400 Message-ID: X-Original-Return-Path: Received: from [192.100.21.30] (account clifford@cni.org [192.100.21.30] verified) by cni.org (CommuniGate Pro SMTP 6.2.7) with ESMTPSA id 35733187 for cni-announce@cni.org; Wed, 02 Oct 2019 14:28:50 -0400 X-Original-Date: Wed, 2 Oct 2019 14:27:50 -0400 X-Original-To: cni-announce@cni.org X-Original-Message-ID: <20191002142750512392.062eedfa@cni.org> Subject: Short article on Machine Learning for Archives and Special Collections MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit X-Mailer: GyazMail version 1.5.21 Over the summer I wrote a short and relatively non-technical piece looking at what machine learning might have to offer to archives and special collections. This has just come out, and can be found here https://blog-ica.org/2019/10/02/machine-learning-archives-and-special-collections-a-high-level-view/ The International Council on Archives, which invited the piece, has also translated it into French, for those who prefer that language. Recently, my friend Dan Cohen of Northeastern University has also looked at very similar topics in his wonderful newsletter Humane Ingenuity. See https://buttondown.email/dancohen/archive/humane-ingenuity-3-ai-in-the-archives/ I may do a longer version of this piece at some point in future, greatly expanding the discussion of facial recognition, which is quickly turning out to be an extremely interesting and complicated issue. Clifford Lynch Director, CNI