Dr. William Webber and John Tredennick were invited to present a research paper on a new form of clustering for TAR review at the at 1st Workshop on Augmented Intelligence for Technology-Assisted Reviews Systems, (ALTARS 2022) a workshop that will be held as part of the 44th European Conference on Information Retrieval (ECIR) to be April 10-14,  2022 in Stavanger, Norway.

Webber and Tredennick will present their paper entitled: Relevance-specific clustering in predictive coding and will demonstrate Sherlock’s unique cluster batching capabilities to conference attendees. It will be part of the Altars workshop which will focus on “Evaluation Metrics and Protocols for eDiscovery and Systematic Review Systems”  The workshop is led by professors Giorgio Maria Di Nunzio (University of Padova, Italy), Evangelos Kanoulas (University of Amsterdam, The Netherlands), and Prasenjit Majumder (Dhirubhai Ambani Institute of Information and Communication Technology, India). 

This workshop is one of the first to focus on augmented intelligence as a subset of artificial intelligence. As the workshop leaders explained:

“Augmented Intelligence (AL) is ‘a subsection of AI machine learning developed to enhance human intelligence rather than operate independently of or outright replace it. It is designed to do so by improving human decision-making and, by extension, actions taken in response to improved decisions.’ In this sense, users are supported, not replaced, in the decision-making process by the filtering capabilities of the Augmented Intelligence solutions, but the final decision will always be taken by the users who are still accountable for their actions.

The Webber and Tredennick paper can be downloaded here.

More on Dr. Webber and Merlin’s CEO and founder can be found here.