The paradox of user well-being and social media coporate profitability

What is it about?

This article looks at how corporate responsibility is changing in the age of AI technologies and questions whether old rules about accountability still make sense when dealing with smart, interactive systems. Drawing from different fields (business, philosophy, and technology) it presents a model showing how AI goals, user feelings, social responsibility, and company performance are connected. The paper uses AI systems managing social media interactions as an example to convey its point. Many of these AI systems are designed to keep users engaged, which can sometimes lead to negative effects like anxiety, addiction, or depression. It argues that if companies adjust their AI systems' goals to also prioritize user well-being rather than always trying to increase engagement, they can reduce these problems, make users more satisfied, and still improve profits. This approach challenges the traditional idea that toolmakers are not responsible for how their products are used and offers a new way to balance ethical design with business success. Although the study is theoretical and needs real-world testing, it suggests that companies can be both profitable and socially responsible by designing AI that genuinely supports users’ well-being.

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Photo by Mariia Shalabaieva on Unsplash

Photo by Mariia Shalabaieva on Unsplash

Why is it important?

It provides a solution that can improve the mental health and well-being of users, and accordingly society, without jeopardizing corporate profitability. It challenges the tool-maker liability protection paradigm and recognizes the role and responsibility of AI providers in the adverse mental impact that those products can have on users. Accordingly, it provides a middle ground solution that is compatible with the old paradigm yet moves toward the new paradigm of liability attribution.