In recent times, the tech community has been buzzing with speculations regarding Google’s decision to terminate its association with Appen, a company known for providing Search Quality Raters. This move has sparked a wide range of discussions, leading some to believe we may be on the cusp of a revolutionary shift towards AI-driven search quality rating. However, a closer examination of the facts provides a clearer perspective on the situation and what it may mean for the future.
Unpacking the Speculations
The online SEO and social media spheres are rife with two primary theories concerning Google’s actions:
- Google No Longer Requires Quality Raters: This theory suggests that Google’s decision marks the end of the road for the need for human search quality raters.
- Transition to AI Search Quality Raters: Another perspective is that Google is setting the stage to introduce AI search quality raters on a large scale.
The Reality of Search Quality Raters
Contrary to the notion that Google might phase out human search quality raters, the evidence suggests otherwise. Google collaborates with multiple entities to secure search quality rating services, not solely relying on one company. Discussion threads on platforms like Reddit have highlighted other companies such as Telus and RWS, which also contribute search quality raters to Google. Thus, the idea that Google will abandon the use of human raters lacks foundation.
The Appen Situation: A Closer Look
Speculation abounds that Google’s decision to sever ties with Appen may be linked to wage negotiation efforts encouraged by a Google workers union, as reported by Forbes. The argument posits that amidst broader cost-cutting measures — evidenced by Google announcing layoffs across various departments, including engineering — the termination of Appen’s contract might primarily be a move to reduce expenses related to labor close to unionized workers.
Will AI Replace Human Raters?
A segment of the SEO community views the departure of Appen’s workers as a sign that Google might lean towards employing AI for search quality rating. While some believe that Google currently lacks the capability to fully replace human raters with AI, others anticipate such a transition in the foreseeable future. Concerns have been raised about the implications for publishers, fearing that AI’s scalability could extend quality ratings across the web, potentially leading to stricter scrutiny.
However, it’s essential to note that Google has long incorporated AI and algorithms in evaluating web page quality, with systems like the Helpful Content System, the Reviews System, and SpamBrain playing pivotal roles in this process. Therefore, the concept of AI-assisted rating is not new to Google.
The Future of Search Quality Rating
The ongoing use of human search quality raters by Google, alongside its AI and algorithmic rating systems, raises important considerations. The input from human raters not only aids in refining search algorithms but also serves as valuable data for training AI, suggesting that human raters continue to play a crucial role in the ecosystem.
Key Points to Remember:
- Google’s Relationship with Multiple Rating Providers: Google’s decision does not signify an end to human search quality raters, as the company engages multiple firms for these services.
- Speculation vs. Strategy: Theories surrounding wage negotiations and cost-cutting measures offer insight into possible reasons behind Google’s decision but remain speculative.
- AI and Human Raters Coexisting: Google already utilizes AI for rating purposes, and there’s no immediate indication of phasing out human raters.
- The Role of Human Raters in AI Training: Human raters not only evaluate search quality but also contribute to the development of AI through data provision.
In conclusion, while Google’s decision to terminate its contract with Appen has fueled much speculation, the evidence points to a more nuanced reality. Human search quality raters remain a vital part of Google’s strategy, complemented by ongoing advancements in AI and algorithmic rating systems. The future, while leaning towards greater AI involvement, still values the critical input of human evaluation in enhancing search quality. Click on the button to contact us!
