Digital platforms use various AI-enabled technologies such as ML and Natural Language Processing (NLP) for content moderation, user authentication, and fraud prevention. However, AI’s potential to address the entire spectrum of safety concerns is yet to be explored.
Additionally, the emergence of generative AI necessitates a shift in our approach to content moderation, compelling increased investments to develop a robust safety infrastructure.
In this report, we explore the current state of technologies in the Trust and Safety (T&S) landscape and highlight AI’s vast potential in enhancing user safety. We also propose an AI investment strategy based on a holistic platform-based approach. This approach encompasses both the right tools and solutions and adheres to responsible AI principles to ensure ethical and sustainable content moderation practices.
Scope
All industries and geographies
Contents
In this report, we:
Explore the current state of technologies in the T&S landscape
In today’s fast-evolving business landscape, the demand for exceptional customer experiences in Europe is on the rise. Factors such as language requirements, regulatory considerations, and cultural nuances will be key to getting it right as organizat…
