AI technologies have already sparked profound changes across our industry, enabling machines to perform tasks that previously required an abundance of human intelligence. AI algorithms can analyze vast datasets to uncover patterns, LLMs can generate coherent text, and genAI can simulate human-like creativity. Here we explore some of the current use-cases to see how far along your organization is in your AI exploration.
Trust and integrity are paramount in scholarly communication. Researchers and readers express enthusiasm about the technology but apprehension about AI’s potential for misinformation and its potential to undermine scholarly integrity. Defining your organization’s standards for AI use and implementation should consider the following:
Defining your AI policy and stating these policies in an open and transparent manner ensures that everyone is playing by the same rules to govern and safeguard the integrity of your processes and content. Transparency builds trust and promotes awareness with your stakeholders – researchers, reviewers, readers, and funders.
This should be the first step in your AI journey – understanding what is and is not acceptable for your organization…but be ready to adjust accordingly as the technology develops. Being open to review and changing these policies as the technology evolves is equally important to ensure you keep pace with fast-moving developments.
AI is only as good as the content and data on which it is trained, creating a demand for the type of evidenced-based, peer reviewed content scholarly publishers produce. AI-enabled content licensing solutions and partnerships between publishers and AI companies are an example of the potential new revenue streams AI can create. The question is how to capitalize on these opportunities while keeping control of your intellectual property and your brand. For example, Perplexity now offers a revenue-sharing program for content-providers, Perplexity Publishers’ Program, and Copyright Clearance Center has made AI re-use rights available within its Annual Copyright License. Recent high-profile licensing deals by Taylor & Francis, Wiley, and even Oxford University Press, with major technology companies have gotten attention for their revenue generation, as well as drawn criticism from authors who have concerns about copyright and context.
Our community is in the best position to provide reliable and trustworthy content. Understanding the best way to do that for your organization without adversely impacting other areas of your operation while maintaining trust and integrity will be key.
Integrating AI into editorial workflows can enhance efficiency and address challenges across submission, peer review, and post-acceptance processes. Tools such as AIRA (Artificial Intelligence Research Assist) for integrity checks and Stat Reviewer for peer review streamline operations and support research integrity, while AI-powered language services support multilingual authors, promoting inclusivity and accessibility in scholarly publishing. Copyright traps are a new tool designed to help authors and publishers identify whether their content has been scraped without their permission, underscoring the growing importance of managing copyright issues in the context of AI and machine learning advancements.
Despite clear potential benefits in quality, efficiency, and integrity, challenges related to technology implementation must be explored and quantified. Cost-benefit analysis as well as clear and compelling business cases must inform any initiative to integrate AI-powered tools into the development and production workflow. Careful evaluation and selection of tools based on business needs and defined metrics for success ensure that any investment delivers on its objectives.
AI offers publishers opportunities to innovate by enhancing and optimizing the user experience. Leveraging LLMs and AI algorithms, publishers have the potential to turn data and information into knowledge. For researchers, this can mean developing new products that provide deeper insights and personalized content recommendations such as Elsevier’s SCOPUS AI. For healthcare professionals this can mean products that deliver clinical decision-making tools seamlessly at the bedside, such as Dyna AI and DynaMedex. For learners, this can mean tools that support personalized learning and improved efficacy and learning outcomes, such as jane AI from HealthStream.
But beware of the temptation to introduce an AI feature that is not customer centric. Adding AI capabilities that are not squarely targeted to meet defined customer expectations is risky at best. What problem are your customers trying to solve? Starting with a deep understanding of customer needs by talking to them and assessing AI as a potential solution ensures that products and services effectively meet those needs.
Identify and prioritize areas where AI could have business impact, supporting and enabling your strategic objectives: speeding product development, adding effectiveness to market intelligence, driving operational efficiencies and cost savings. Where can AI help your organization grow? How can AI help your organization innovate? Market research in the form of surveys, interviews with your key internal and external stakeholders about their priorities, challenges, gaps, hesitations, and the opportunities they see ahead can help illuminate opportunities. AI can be used as a tool to support strategy; from adding operational efficiency to helping remove barriers to product innovation. Spending the time to dig in and determine how AI can be used to help your organization achieve its strategic goals should be a priority.
AI is a technological leap, bringing with it fundamental changes in how scholarly information is created, vetted, disseminated, and consumed. However, leveraging AI as a tool to enable your goals requires a deep understanding of your current state and the needs and challenges of your community. From research integrity to operations to customer intimacy, embedding AI into your organization successfully requires alignment with your strategy. To understand HOW to use AI, it is critical to first define WHY to use AI.
Delta Think can help you navigate the evolving AI landscape and determine how to best leverage it to enhance productivity, foster innovation, and maintain trust. Contact us today to discuss all the ways we can support your organization and help you manage to change.