New book proposes a very human AI approach

Newly released book advocates for AI development focused on enhancing human life, featuring insights from global experts on overcoming biases, protecting privacy, and ensuring technology serves humanity’s needs, not the other way around

In the rapidly evolving landscape of artificial intelligence (AI), a pivotal shift is on the horizon, as outlined in the new book, “Human-Centered AI: A Multidisciplinary Perspective for Policy-Makers, Auditors, and Users.” This book, enriched by the insights of fifty experts from over twelve countries and disciplines, advocates for a paradigm shift in AI development. As someone who regularly writes about and reviews AI solutions for labs, the book’s call for AI technologies that align with human needs rather than the other way around resonates deeply.

The essence of human-centered AI, as the book articulates, lies in developing technologies that enhance rather than diminish the human experience. Shannon Vallor, a leading voice in the field from the University of Edinburgh, succinctly captures this vision, emphasising the importance of technology that supports, enriches, and empowers humanity. This approach starkly contrasts with the prevailing trend of developing generative AI for the sake of technological prowess, often leaving users to adapt to its implications.

The contributors to “Human-Centered AI” delve into the multifaceted risks and missed opportunities inherent in the current trajectory of AI development. For instance, Malwina Anna Wójcik highlights the systemic biases that exclude marginalised communities from the AI design process, thereby perpetuating existing power dynamics. Similarly, Matt Malone raises concerns about the erosion of privacy in the age of AI, underscoring the delicate balance between technological advancement and the preservation of individual autonomy.

The societal and behavioral impacts of AI are also scrutinized, with case studies illustrating how AI applications, from Google services to social media platforms, are reshaping our cognition, behaviors, and social dynamics. These insights reveal a troubling trend: without a human-centered approach, AI technologies risk narrowing our perspectives and pushing us towards homogeneity and extremism.

The book does not stop at diagnosing problems; it offers pragmatic solutions for integrating human-centred principles into AI development. Pierre Larouche and Benjamin Prud’homme, for example, argue for the applicability of existing laws to AI and urge policymakers to confidently navigate the tension between innovation and regulation. Their discussions underscore the importance of inclusive governance that considers the needs and voices of all stakeholders, including those historically marginalised.

As a user of lab AI solutions, I see in this book not just a critique but providing hints and ideas towards a more equitable, ethical, and human-friendly AI future. The message is clear: AI needs to adapt to us, not the other way around. This book is an essential read for anyone invested in the future of AI, offering a comprehensive framework for rethinking how we develop, deploy, and interact with this transformative technology.

You can get a copy of Human-Centered AI: A Multidisciplinary Perspective for Policy-Makers, Auditors, and Users on the the publishers website.

Staff Writer

Our in-house science writing team has prepared this content specifically for Lab Horizons

Leave a Reply

Your email address will not be published. Required fields are marked *