Black Inc. Faces Backlash Over AI Training Data Deal

Black Inc. Faces Backlash Over AI Training Data Deal

smh.com.au

Black Inc. Faces Backlash Over AI Training Data Deal

Black Inc., publisher of The Saturday Paper, is facing backlash for requesting authors' consent to use their works for AI training, offering a 50/50 revenue split, raising concerns about author exploitation and the future of authorship.

English
Australia
TechnologyArts And CultureAiArtificial IntelligenceAustraliaCopyrightPublishingAuthors Rights
Black Inc.Schwartz MediaAustralian Society Of Authors (Asa)MediaEntertainment And Arts Alliance (Meaa)
Morry SchwartzHelen GarnerStan GrantDavid MarrLaura Jean MckayErin MadeleyLucy HaywardJason Steger
What are the immediate consequences of Black Inc.'s proposal to use authors' works for AI training, considering the concerns raised by authors and industry organizations?
Black Inc., a Melbourne-based publisher, is facing criticism for requesting authors consent to their works being used for AI training. The addendum to their contract proposes a 50/50 revenue split, but authors like Laura Jean McKay express concerns about the implications for the future of authorship and the potential obsolescence of novelists.
How does the proposed 50/50 revenue split between Black Inc. and authors compare to standard publishing practices, and what are the ethical implications of this arrangement?
The situation highlights the conflict between publishers adapting to AI and authors' rights. Black Inc. cites the growing demand for AI training data and claims fairness, while critics like the Media, Entertainment and Arts Alliance (MEAA) argue this is a response to Big Tech stealing content and advocate for stronger AI regulation in Australia. Authors worry about undue pressure and a lack of information.
What are the potential long-term systemic impacts of this case on the publishing industry and the future of authorship, given the predictions of AI replacing human creatives?
This incident reveals a critical juncture in the publishing industry. The demand for data to train AI models is forcing a renegotiation of the author-publisher relationship. Future implications include potential changes in author compensation, the rise of AI-generated content, and the need for robust legal frameworks to protect authors' rights and prevent the exploitation of their work.

Cognitive Concepts

3/5

Framing Bias

The article frames the situation primarily from the perspective of authors who are critical of the contract addendum, particularly emphasizing the concerns and statements of Laura Jean McKay. While Black Inc.'s statement is included, the framing largely positions the publisher's actions as questionable. Headlines and subheadings, such as "Insidious situation" and "The job that I have, the work that I do is becoming obsolete", contribute to a narrative that emphasizes the negative impact on authors.

2/5

Language Bias

The article uses some emotionally charged language, such as "insidious situation", "death warrants", and "completely replace me", reflecting the strong opinions of the interviewed authors. While this language adds emotional weight, it could be considered somewhat biased. More neutral alternatives could include phrases such as "concerning situation", "significant concerns", and "potentially displace". The repeated use of words like "terrified" and "obsolete" reinforces the negative framing.

3/5

Bias by Omission

The article focuses heavily on the controversy surrounding Black Inc.'s contract addendum, and Laura Jean McKay's perspective. While it mentions the statements from Black Inc., MEAA, and ASA, it doesn't delve into the specific AI company's perspective or broader industry practices regarding AI training data acquisition. This omission limits a complete understanding of the situation and the different stakeholders' arguments. The lack of detail on the unnamed AI company's practices and business model could leave readers with an incomplete picture of the potential implications of the agreement.

2/5

False Dichotomy

The article presents a somewhat simplified eitheor framing by highlighting the concerns of authors (fear of job obsolescence, unfair revenue split) against Black Inc.'s justification (growing demand for AI content, fairness and simplicity). It does not fully explore potential middle grounds or alternative solutions to the problem of AI data usage. The framing emphasizes the conflict rather than the complexities of the issue.

Sustainable Development Goals

Decent Work and Economic Growth Negative
Direct Relevance

The article discusses how AI is threatening the livelihoods of authors, potentially leading to job displacement and decreased opportunities for writers. The proposed agreement, while offering a revenue share, raises concerns about the long-term sustainability of authors' careers and the potential devaluation of their work.