The Study of Biasness In Print And Broadcast News Due To Increased Use Of AI

Abstract

The advent of AI is undoubtedly a feather in the cap of technology. The more technology advances, the more humans get an option to bifurcate their work in a productive way. It is definitely a subject to debate that how effectively we can use it without considering it as a threat or a replacement for human brain. The memories of Terminator movie franchise are still very fresh in our minds. It is just a reflection of what future might be or what future has stored in if the technology advances. There are numerous questions that are being asked that whether human working force will be replaced or what? Whether the AI tools in media will decrease the work load or will it auto work the entire system? And so on. The use of AI extensively in media nowadays following ChatGPT's public release in late November 2022, senior leadership teams in nearly every newsroom are now urgently focusing on AI-driven innovation due to its capabilities, which have such a clear and significant potential impact on journalism. Everybody in the journalism industry is wondering, "What's next?" The study of bias in print and broadcast news due to increased use of AI is a complex. Here are some key points to consider: Algorithmic Bias: AI systems used in news production can reflect biases present in their training data. For example, if historical data contains biases, such as gender or racial stereotypes, AI algorithms may perpetuate these biases in news content. Content Selection Bias: AI algorithms often play a role in selecting which news stories to prioritize or display to audiences. This can lead to a bias in the types of stories that receive attention, potentially favouring certain perspectives or excluding others. Language and Tone Bias: AI-generated content may exhibit bias in language and tone, which can influence how news is perceived by audiences. This can include biased framing of issues, use of loaded language, or reinforcement of stereotypes. Impact on Diversity and Inclusion: The use of AI in news production can impact diversity and inclusion by influencing representation in news coverage. For example, AI algorithms may prioritize certain sources or perspectives over others, leading to a lack of diversity in voices and viewpoints. Ethical Considerations: Addressing bias in AI-driven news requires ethical considerations, including transparency about the use of AI, accountability for algorithmic decisions, and efforts to mitigate bias through diverse training data and algorithmic audits. Researchers and practitioners in journalism, AI ethics, and media studies are actively exploring these issues and developing strategies to address bias in AI-driven news production. In the first half of 2023, a lot of journalists took the opportunity to understand the fundamentals of artificial intelligence and understand it. Numerous newsrooms proceeded even farther, furnishing their staff members and viewers with declarations or protocols defining their desired methodology for incorporating generative AI into their workflows and news outputs. Some even started releasing a couple of Chat GPT-written experimental articles. But not many have yet implemented concrete measures to use these tools in their newsrooms on a regular and practical basis. Though particular initiatives are harder to come by, change is in the air.