Sustainable Substitutes for Grammarly

An assisting tool for writing with privacy issues and Big Tech ties.

Reasons to avoid Grammarly

Grammarly raises concerns due to its privacy risks, lack of transparency, reliance on Big Tech and AI bloat.

Choose a more ethical and transparent alternative for writing assistance.

Ethical and Sustainable Grammarly Alternatives

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  • Feasibility: How easily can the average user switch to this substitute? Higher feasibility results in a higher ranking.
  • Editor's Rating: How sustainable is the substitute? The more sustainability attributes it fulfils, the higher it is ranked.

The 4 main issues with Grammarly

Reliance on Big Tech - Services relying on Big Tech for their infrastructure.

Grammarly is backed by major venture capital firms and operates within the broader ecosystem of Big Tech, leveraging large-scale data processing and AI-driven tools. Grammarly also relies on cloud infrastructure and AI technologies provided by major tech companies, reinforcing dependence on Big Tech ecosystems. Source: TechCrunch: Grammarly raises $200M at a $13B valuation to expand its AI-powered writing assistant (2021)

Privacy Concerns - User data is likely to be stored and used against users' best interest.

Grammarly has faced criticism for its data collection practices, including accessing and storing user writing data, which raises concerns about privacy and the potential misuse of sensitive information. Source: Wired: Grammarly’s Privacy Policy Is a Grammar Nightmare (2023)

Lack of Transparency - Opacity in operations, data handling, or supply chains, making it difficult for users to understand practices.

Grammarly's algorithms and data usage policies are not fully transparent, making it difficult for users to understand how their data is being processed or shared. Source: Wired: Grammarly’s Privacy Policy Is a Grammar Nightmare (2023)

AI Bloat - Service has unnecessary or harmful AI features.

Grammarly's AI-driven features often require significant computational resources, contributing to the broader issue of AI bloat, where excessive computational power is used for tasks that could be performed more efficiently. Source: Ars Technica: AI is becoming a bigger energy hog than Bitcoin (2023)

Suggestions and Feedback

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