Front-end AI vs. Back-end AI: new framework for securing truth in communication during the generative AI era

Frontiers in Communication

Communication

Donggyu Kim¹  Jungwon Kong² 

[1] Annenberg School for Communication and Journalism, University of Southern California, Los Angeles, CA, United States;Technology Management, Economics, and Policy Program, Seoul National University, Seoul, Republic of Korea;

关键词: truth;    artificial intelligence;    privacy;    disinformation;    communication;    ethics;    algorithmic transparency;    bias detection;   

DOI  :  10.3389/fcomm.2023.1243474

 received in 2023-06-20, accepted in 2023-08-24,  发布年份 2023

来源: Frontiers

【 摘 要 】

The proliferation of artificial intelligence (AI) in digital platforms has complicated the concept of truth in communication studies. The article presents the dichotomic framework of Front-end AI and Back-end AI to tackle the complexity of distinguishing truth. Front-end AI refers to AI technology used up-front, often as the face of a product or service, challenging the authenticity and truthfulness of content. In contrast, Back-end AI refers to AI technology used behind the scenes, which can generate misleading or biased content without disclosing its AI-generated nature. Addressing these challenges requires different approaches, such as verification and ethical guidelines for Front-end AI and algorithmic transparency, bias detection, and human oversight for Back-end AI.

【 授权许可】

Unknown   
Copyright © 2023 Kim and Kong.