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42   Straive  |  Redefining Your Peer Review Experience





            scientific disciplines. To do this, it ensures that publications accurately provide information
            such as sample sizes, information regarding subject blinding, and baseline data. StatReviewer
            can also detect indicators of fraudulent behaviour.

            Earlier this year, open-access publisher Frontiers developed the state-of-the-art Artificial
            Intelligence Review Assistant (AIRA) to help editors, reviewers and authors evaluate the
            quality of manuscripts. AIRA examines each manuscript and can provide up to 20
            recommendations in seconds, including assessing the quality of the language, the integrity
            of the statistics, detecting plagiarism, and identifying potential conflicts of interest.

            While these tools can ensure that a manuscript is of high quality, they are not meant to
            replace the role of a reviewer in terms of evaluation. Concerns have been raised that
            machine-learning algorithms trained on previously published papers may perpetuate existing
            biases in peer review. Furthermore, because the algorithms are very domain specific, they are
            only scalable in a few areas. Algorithms are not yet intelligent enough to allow an editor to
            accept or reject a manuscript purely based on the data extracted. While the algorithms will
            take some time to refine, it would make sense to automate a lot of things for the reason that a
            lot of things in peer review remain standard.


            AI certainly has the potential to enhance certain
            elements of conventional peer review, and
            publishers are already deploying it for some
            fundamental jobs within the workflow. It will
            necessitate specific standards and processes
            for determining which parts of the review
            process can or should be automated, and
            when they must rely on human supervision. As
            technology advances, more and more aspects
            of the peer review process are expected to
            benefit. However, for the near future, there will
            always be a need for human involvement and
            final decision-making.


            Straive has invested technology and SMEs as part of its Innovation labs and deployed
            solutions around reviewer search and transfer management. Our long-term engagements with
            our partners clearly demonstrate our capabilities across the publishing value chain. Be it our
            work with upstream solutions such as Transfer Desk, or Reviewer Search or downstream
            solutions like our MARC distribution platform, we have a comprehensive portfolio that allows
            us to drive change seamlessly.
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