Google Gemini
Based exclusively on public evidence • 20 criteria (Privacy + AI)
Last review: 10 Feb 2026
AI Trust Summary
- •Regarding AI: it does not document AI ethics principles, which may lead to risks of bias and algorithmic discrimination.
- •Regarding Core Privacy: it lists data processing purposes, offering clarity on how information is used and protected.
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Attention Points in AI (2)
AI criteria that require attention. Buy the Premium Analysis to see all 2 criteria.
- •Google Gemini
- •Does not document mechanisms for contesting AI decisions, which may limit transparency in automated decisions.
- •Specific opt-out for AI training is not available, making it difficult for users to control their data.
- •Requiring a human review clause in automated decisions could mitigate risks.
Ethical AI principles and anti-bias measures not documented
There is no explicit mention of 'Ethical AI' principles, 'bias' or 'algorithmic discrimination' in the provided text.
AI decision contestation mechanism not available
Offers general contact channels, but does not specify a human review process for automated AI decisions.
Source: vendor public documents
Compliances in AI (3)
AI criteria the company meets. Buy the Premium Analysis to see all 3 criteria.
- •Google Gemini
- •Documents the use of data for AI training, ensuring transparency.
- •Lists data processing purposes in detail, connecting data categories and their uses.
- •These practices strengthen due diligence and trust in data management.
AI data retention policy clearly documented
The policy states that retention depends on settings and offers tools for the user to delete interaction data and history.
Policy on data use for AI training clearly stated
The policy makes it clear that data entered by users is used to train and improve AI technologies.
AI features clearly identified with their purposes
Describes specific functionalities that use automation/AI and their purposes, such as personalized search and translation.
Source: vendor public documents
Highlights in Privacy (3)
Most relevant criteria for this category. Buy the Premium Analysis to see all 3 criteria.
Data Processing Agreement (DPA) not available for customers
There is no explicit mention of the availability of a Data Processing Agreement (DPA) or processor terms for business customers.
Additional safeguards documented for sensitive data processing
Identifies categories of sensitive data and establishes specific safeguards, such as non-use for personalized ads.
Processing purposes clearly listed by data category
The policy lists the categories of data collected in detail and explicitly connects them with the processing purposes.
Source: vendor public documents
Critical Alerts
- •Mecanismo de contestação de decisões de IA não disponível: Necessário para garantir que os usuários possam contestar decisões que os afetam..
- •Controle de opt-out para treinamento de IA disponível: Importante para que os usuários possam ter controle sobre o uso de seus dados para treinamento.
Conformance analysis (20)
Clearly documented AI data retention policy
Reference: ISO/IEC 42001 (8.2) + ISO/IEC 27701 (7.4.6)
Use of AI prompts and responses for AI training declared
Reference: ISO/IEC 42001 (8.2) + ISO/IEC 23894 + EU AI Act
Data controller and processor roles clearly defined
Reference: ISO/IEC 27701 (7.3)
Source: vendor public documents
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Source: vendor public documents
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Scope & Limitations
TrustThis/AITS assessments are based exclusively on publicly available information, duly cited with date and URL, following the AITS methodology (privacy & AI transparency).
The content is indicative in nature, intended for screening and comparison, not replacing internal audits.
TrustThis/AITS does not perform invasive tests, does not access vendor technology environments and does not process customer personal data. Conclusions reflect only the vendor's public communication at the date of collection.
Source: vendor public documents