Title: Genio's AI Framework | Genio

URL Source: https://genio.co/ai-framework

Published Time: Thu, 16 Jul 2026 13:07:40 GMT

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# Genio AI Framework

This framework is designed to align with the requirements of [ISO 9001](https://www.iso.org/standard/62085.html) and [ISO 42001](https://www.iso.org/standard/81230.html).

Genio believes in accountability and taking responsibility for the impact of our usage of AI. This framework applies to all employees, contractors and third-parties that develop products or services on behalf of Genio. We will always respond to feedback on our use of AI to ensure we understand its impact on individuals, communities and society as a whole.

Genio will always seek to avoid working with products or services that do not align with our values or would require us to work against guidance outlined in this framework. By adopting this framework, we uphold our commitment to the responsible and ethical deployment of AI in our work. Our technology should provide a positive contribution to our users and wider communities.

## 1.0 Ethically sound

#Principle Objective Guideline
**1.1**Accountability We will take accountability for the impact of our work that leverages AI All teams working on AI projects should demonstrate leadership and commitment to upholding our values and policy
**1.2**Inclusivity We will recognise the importance of engagement, both within our teams and with users who may be affected by our AI work Actively seek input, feedback, and collaboration from diverse stakeholders to ensure that AI benefits everyone and proactively address any potential concerns

Gain insights from experts and domain specialists to ensure a comprehensive understanding of any social, cultural, and economic implications
**1.3**Fairness We will strive to avoid biases and discrimination in AI systems, paying particular attention to protected characteristics Undertake an ethical review ahead of agreeing to going ahead with an AI project for any product or service

Implement quality assurance processes that uncover any that may exist
**1.4**Privacy We care about every individual’s right to privacy Do not leverage AI for any purposes we deem impact a person’s rights or privacy, including reproducing a person’s likeness (visual, audio or otherwise) unless a valid business case is signed off (through executive approval), and explicit, signed permission is obtained from the person in question

Developing systems that focus on secure processing of Institutional IP, Personally Identifiable Information (PII)* and minimising PII collection

For any other situations that may have any potential direct or indirect impact on one or more individuals, seek executive approval and signed, written consent before taking action
**1.5**Transparency We commit to providing clear and accessible information about the use of AI in our products and services Produce documentation that explains the purpose, values, data and governance of each AI feature/product/service/system
**1.6**Human-centricity We believe in prioritising the needs and preference of users, taking a human-in-the loop approach to designing products and systems We will not design systems with fully automated AI-decision making, where that decision could negatively impact one or more individuals, unless sign-off is approved by the executive team

We will always incorporate human oversight in AI systems, supporting ethical decision-making and accountability

Take a user-centred approach to design, clearly indicating where AI has been used and how to interact with it

Establish mechanisms for providing feedback and use this feedback to improve our systems
**1.7**Education For all of our principles, we will invest in continually upskilling our teams to improve and share our AI knowledge, understanding and best practice approaches, as well as hiring appropriate expertise where necessary Evolve company and hiring policies and approaches along with new AI technologies

Include AI training as part of mandatory employee training

Provide opportunities for individuals to develop AI competencies as part of wider learning and development

Contribute to public awareness and understanding of AI in Education, its benefits, and potential risks, fostering a broader understanding of responsible AI
**1.8**Innovation We strongly believe in fostering a culture of creativity and innovation and will experiment ethically with AI technologies and tools Testing new AI tools or technologies is acceptable, as long as no user data is used and an initial risk assessment has been completed prior to use

Add dates to your calendar to cancel trials, or put together a business case to obtain a licence or purchase a product that leverages AI

* * *

## 2.0 Legally compliant

#Principle Objective Guideline
**2.1**Risk and Impact Assessed We will conduct assessments of the social, economic, and environmental risks and impacts of AI in our products and services Identify the risk level of any potential functionality, aligned with the [capAI](https://artificialintelligenceact.eu/assessment/) system

Ensure AI-specific risk assessments are completed, considering key elements like privacy, safety etc

Address potential negative impacts promptly
**2.2**Security We commit to implementing best-in-class security measures to safeguard AI systems and the data they process Leverage encryption and access controls wherever appropriate

Conduct regular security audits and penetration tests
**2.3**Compliance & Governance We will adhere to all relevant laws and regulations governing the use of AI, including proactively implementing guidance and processes for legislation under development Adhere to all relevant laws and regulations governing the use of AI, including data protection, privacy, and anti-discrimination laws

Enforce data governance practices that adhere to data protection regulation

Keep abreast of any upcoming or evolving legislation

Ensure any third-party tools or services that leverage AI have been risk assessed

* * *

## 3.0 Technically robust

#Principle Objective Guideline
**3.1**Interpretability & Transparency We’ll aim to ensure that stakeholders can interpret and explain the rationale behind the outputs of our AI Produce thorough, user-friendly documentation for every project or process that leverages AI
**3.2**Lifecycle Quality Assurance We will ensure quality at each of the key AI system lifecycle stages, from design through to development, evaluation, operation and if applicable, retirement Implement knowledge transfer processes to ensure insights gained from ongoing quality assurance efforts are shared across Product & Technology teams
**3.3**Testing & Monitoring We will take measures to enhance the reliability, accuracy, and performance of our AI systems and monitor against these our benchmarks Test under a range of conditions, including diverse environments, input variations, and different user demographics

Ensure systems maintain reliability and performance across a spectrum of scenarios

Set up mechanisms for continuous monitoring of performance in real-world conditions

Implement alert systems to detect deviations from expected behaviour
**3.4**Sustainability & Scalability We will seek to develop AI products and systems that have longevity and can scale aligned to the goals of our users Take an agile and progressive approach to development and deployment

Where possible build reusable capabilities rather than tying delivery tightly to a narrow use-case

Consider adopting third party tooling where it allows for, experimentation and changes to implementation, whilst adhering to our AI policy
**3.5**Automated Evaluation Measure the accuracy and quality of AI systems Use [Evals](https://github.com/openai/evals) to automatically test before every deployment
**3.6**Maintainability Maintain necessary expertise and resource within the business to support AI projects post-launch Automatic tooling for security updates, which re-run tests

![Image 71: ICON-contract](https://genio.co/hubfs/ICON-contract.png)

## AI policy template for institutions

We've created a comprehensive AI Policy template, readily available for institutions to download and customize, providing a robust framework for responsible AI implementation.

[Download the template](https://go.genio.co/ai-policy-template)

## Read our blog on **ethical approach to AI**

[![Image 72: The impact of AI on note taking in higher education](https://genio.co/hubfs/The%20impact%20of%20AI%20on%20note%20taking%20in%20higher%20education.png) ### The impact of AI on note taking in higher education We've digested the research, uncovering everything you need to know about note taking and how AI can undermine encoding and widen the achievement gap for New Majority Learners.](https://genio.co/resources/research-and-insights/the-impact-of-ai-on-note-taking-in-higher-education)[![Image 73: BLOG_study tools available for students THUMB](https://genio.co/hubfs/BLOG_study%20tools%20available%20for%20students%20THUMB.png) ### AI Principles at Genio Read our blog post written by one of our Engineering Managers, Natasha, about the important principles we stick to when working with AI.](https://genio.co/ai-framework)[![Image 74: BLOG_learn a new skill THUMB](https://genio.co/hubfs/BLOG_learn%20a%20new%20skill%20THUMB.png) ### How institutions can integrate using AI in higher education Delve into the opportunities AI presents for enhancing learning, addressing common fears, and fostering critical thinking skills among students and faculty.](https://genio.co/ai-framework)

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