PSYBER Artificial Intelligence Governance Framework

The PSYBER Artificial Intelligence Governance Framework (PAIG Framework) is a comprehensive, extendable business framework for Machine Learning and Artificial Intelligence (AI) implementations. It builds on the Model Artificial Intelligence Governance Framework to provide a tailored, scalable solution for organizations looking to develop and deploy AI capabilities in a responsible and successful manner.

The PAIG Framework is designed to help organizations describe and develop the organizational structures, roles, policies, processes, and practices needed to support the development and deployment of AI capabilities in a range of settings, including research, business operations, and decision-making. By implementing the PAIG Framework, organizations can ensure that their AI capabilities are aligned with their business goals and values, and operate in a way that is transparent, accountable, and ethical.

The PSYBER Artificial Intelligence Governance Framework allows companies, regulators and researchers to responsibly govern the development and use of machine decision making capabilities.

The PAIG Framework provides readily-implementable guidance to public and private sector organisations to address legal, ethical and governance issues when deploying AI solutions or when developing AI capabilities.

Holistic approach

The PSYBER Artificial Intelligence Governance Framework (PAIG Framework) is designed to help organisations develop and deploy AI capabilities in a responsible and successful manner. To achieve this, the PAIG Framework focuses on a range of key areas

Organisational structures and roles

The PAIG Framework provides guidance on the types of organisational structures and roles that are needed to support the development and deployment of AI capabilities. These may include:

• Data security
• Data governance
• Privacy
• AI Ethics team
• AI Strategy team
• AI research and development team
• AI deployment and operations team
• AI governance board

Policies and processes

The PAIG Framework provides guidance on the policies and processes that are needed to ensure that AI capabilities are developed and deployed in a responsible and ethical manner. This includes processes for ensuring data privacy, managing bias in AI systems, and ensuring that AI systems are transparent and accountable.

Practices and standards

The PAIG Framework provides guidance on the practices and standards that organisations should follow when developing and deploying AI capabilities, such as best practices for data collection, management, and analysis, as well as industry-specific standards and guidelines.

Governance and oversight

The PAIG Framework provides guidance on the governance and oversight mechanisms that are needed to ensure that AI capabilities are developed and deployed in a responsible and ethical manner. This could include the establishment of AI ethics committees or other oversight bodies, as well as regular audits and reviews of AI systems to ensure compliance with policies and standards.

The PAIG Framework provides a comprehensive, extendable framework that organisations can use to develop and deploy AI capabilities in a responsible and successful manner, while ensuring that these capabilities align with the organization’s business goals and values.

Why do organisations need an AI Framework?

Ever more governments and businesses are adopting AI capabilities to handle automated decision making and communication at scale. A robust AI governance framework informs and safeguards the secure, ethical and focused implementation of AI capabilities, allowing these to be compliant with company guidelines and policies, ethical guidelines and legal requirements.

Who is the PAIG framework intended for?

Private Sector

The PSYBER Artificial Intelligence Governance Framework (PAIG Framework) provides several advantages for private sector organisations who want to adopt it.

Improved efficiency and productivity

The PAIG Framework provides guidance on the development and deployment of AI capabilities that can support business operations and decision-making. By adopting the PAIG Framework, private sector organisations can improve the efficiency and productivity of their operations, and gain a competitive advantage in the market.

Enhanced compliance with regulations

The PAIG Framework provides guidance on compliance with relevant regulations, such as data privacy laws and ethical guidelines for AI. By adopting the PAIG Framework, private sector organisations can ensure that their AI capabilities are compliant with these regulations, reducing the risk of legal or regulatory challenges.

Improved customer satisfaction

The PAIG Framework provides guidance on the use of AI to enhance the customer experience. By adopting the PAIG Framework, private sector organisations can ensure that their AI systems are designed and deployed in a way that is transparent, accountable, and ethical, improving customer satisfaction and loyalty.

Greater agility and innovation

The PAIG Framework is designed to be flexible and scalable, allowing organisations to adapt it to their specific needs and requirements. By adopting the PAIG Framework, private sector organisations can take advantage of its flexibility and scalability to support innovation and agility in their use of AI.

Enhanced risk management

The PAIG Framework provides guidance on managing risks associated with the development and deployment of AI capabilities, such as the risk of bias or ethical violations. By adopting the PAIG Framework, private sector organisations can reduce the risks associated with their use of AI, and ensure that their AI systems are deployed in a responsible and ethical manner.

Public Sector

There are several advantages that public sector organisations can gain by adopting the PSYBER Artificial Intelligence Governance Framework (PAIG Framework). Some of these advantages include:

Improved transparency and accountability

The PAIG Framework provides guidance on policies, processes, and practices that can help public sector organisations ensure that their AI capabilities are transparent and accountable. This can help to build trust with citizens and other stakeholders, and promote confidence in the use of AI in the public sector.

Enhanced compliance with regulations

The PAIG Framework provides guidance on compliance with relevant regulations, such as data privacy laws and ethical guidelines for AI. By adopting the PAIG Framework, public sector organisations can ensure that their AI capabilities are compliant with these regulations, reducing the risk of legal or regulatory challenges.

Improved decision-making

The PAIG Framework provides guidance on the use of AI to support decision-making in the public sector. By adopting the PAIG Framework, public sector organisations can ensure that their AI systems are designed and deployed in a way that is transparent, accountable, and ethical, improving the quality and reliability of the decisions they support.

Greater agility and innovation

The PAIG Framework is designed to be flexible and scalable, allowing organisations to adapt it to their specific needs and requirements. By adopting the PAIG Framework, public sector organisations can take advantage of its flexibility and scalability to support innovation and agility in their use of AI.

Enhanced risk management

The PAIG Framework provides guidance on managing risks associated with the development and deployment of AI capabilities, such as the risk of bias or ethical violations.

Research

The PSYBER Artificial Intelligence Governance Framework (PAIG Framework) also provides several advantages for research organisations who want to adopt it.

Improved transparency and accountability

The PAIG Framework provides guidance on policies, processes, and practices that can help research organisations ensure that their AI capabilities are transparent and accountable. This can help to build trust with funding agencies, academic institutions, and other stakeholders, and promote confidence in the use of AI in research.

Enhanced compliance with regulations

The PAIG Framework provides guidance on compliance with relevant regulations, such as data privacy laws and ethical guidelines for AI. By adopting the PAIG Framework, research organisations can ensure that their AI capabilities are compliant with these regulations, reducing the risk of legal or regulatory challenges.

Improved research outcomes

The PAIG Framework provides guidance on the use of AI to support research in a range of disciplines. By adopting the PAIG Framework, research organisations can ensure that their AI systems are designed and deployed in a way that is transparent, accountable, and ethical, improving the quality and reliability of the research they conduct.

Greater agility and innovation

The PAIG Framework is designed to be flexible and scalable, allowing organisations to adapt it to their specific needs and requirements. By adopting the PAIG Framework, research organisations can take advantage of its flexibility and scalability to support innovation and agility in their use of AI.

Enhanced risk management

The PAIG Framework provides guidance on managing risks associated with the development and deployment of AI capabilities, such as the risk of bias or ethical violations. By adopting the PAIG Framework, research organisations can reduce the risks associated with their use of AI, and ensure that their AI systems are deployed in a responsible and ethical manner.

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Compatibility

The PAIG Framework is intended to be agnostic towards the type of algorithms, business models, technology, sector and scale, and adaptable to a wide range of different situations and contexts.

Flexibility and adaptability

With agility in mind, the PAIG Framework can be adapted to fit the specific needs and requirements of different organisations, regardless of the algorithms, business models, technologies, sectors, or scales they operate in. This makes the it highly flexible and adaptable, allowing a wide range of organisations to adopt it to support their unique AI initiatives and goals.

Scalability

PAGE can be applied to scaled up or down environments to fit the specific needs and requirements of different organisations. This allows organisations to use the PAIG Framework to support small-scale AI initiatives as well as large-scale, complex and global AI programs.

Relevance and applicability

The PAIG Framework can be applied to a wide range of different AI initiatives, across a range of different algorithms, business models, technologies, sectors, and scales. This makes the PAIG Framework highly relevant and applicable to organisations across a range of different industries and contexts.

PAIG provides organisations with a highly flexible, adaptable, and scalable framework that can be applied to a wide range of different AI initiatives, regardless of the types of algorithms used, business models, technologies, sectors, or scales.

Principles

The PAIG Framework supports PSYBER’s AI Governance Principles, OECD Privacy Principles, the IEEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (The General Principles of Ethically Aligned Design) and the Asilomar AI Principles.

PSYBER’s AI Governance Principles

PSYBER’s AI Governance Principles provide guidance on the ethical, transparent, and accountable development and deployment of AI capabilities. These principles include respect for human rights, transparency, accountability, and fairness, among others.

OECD Privacy Principles

The OECD Privacy Principles provide guidance on the protection of personal data in the context of AI. These principles include the collection limitation principle, the data quality principle, the purpose specification principle, and the accountability principle, among others.

IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (The General Principles of Ethically Aligned Design)

The General Principles of Ethically Aligned Design, which are part of the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems provide guidance on the ethical design of AI systems, including principles such as respect for human dignity, transparency, and accountability.

Asilomar AI Principles

Asilomar AI Principles provide guidance on the safe and beneficial development of AI. These principles include the principle of value alignment, the principle of transparency and interpretability, the principle of fairness, and the principle of accountability, among others.

By supporting these principles and guidelines, the PAIG Framework provides organisations with a comprehensive framework that can help them develop and deploy AI capabilities in a responsible, ethical, and transparent manner, while ensuring compliance with relevant regulations and guidelines.

Model AI Governance Framework guiding principles

1: AI decision making should be:

AI aims to increase human productivity, but unlike earlier technologies, some aspects of autonomous predictions or decisions may not be fully explainable to everyone. As AI technologies make decisions that affect individuals, or have a significant impact on society, markets or economies, organisations should make an effort to increase explainability and transparency of AI systems to a level that is analogous to a human making similar decisions. Examples of how this is can be done are available on request.

2: AI solutions should be:

PAIG helps organisations set a series of ethical principles when they embark on deploying AI at scale.

Framework structure

The PAIG framework includes guidance on measures promoting the responsible use of AI that organisations should adopt in the following areas:

Governance structures and measures

Governance structures and measures: The PAIG Framework provides guidance on the development and implementation of governance structures and measures that can promote the responsible use of AI. This includes guidance on the roles, responsibilities, and accountability of different stakeholders, such as AI engineers, data scientists, and decision-makers, as well as guidance on the development of policies, processes, and practices that can support the responsible use of AI.

Level of human involvement in AI-supported decision-making

Level of human involvement in AI-supported decision-making: The PAIG Framework provides guidance on the appropriate level of human involvement in AI-supported decision-making. This includes guidance on the use of human oversight and intervention in decision-making processes, as well as guidance on the use of AI systems to support and augment human decision-making, rather than replacing it.

Set levels of human involvement in AI supported processes according to their potential impact, and optimise systems to decrease severity and probability of harm where appropriate.

Operations Management

Operations Management: The PAIG Framework also provides guidance on the management of AI operations, including guidance on the development and implementation of processes and practices that can support the responsible and effective use of AI in business operations. This includes guidance on the monitoring, evaluation, and feedback of AI systems, as well as guidance on the management of data, resources, and other assets that are used in AI operations.

Stakeholder interactions & communications

Stakeholder interactions & communications: Finally, the PAIG Framework provides guidance on the interactions and communications with stakeholders, such as customers, employees, regulators, and other stakeholders who are affected by or involved in the use of AI. This includes guidance on the development and implementation of processes and practices that can support transparent, accountable, and ethical interactions and communications with stakeholders, as well as guidance on the management of risks and challenges associated with these interactions and communications.

Contextual use of AI

Organisations should consider the information needs of consumers as they interact with AI systems, and provide AI solutions that are appropriate, transparent, and understandable to consumers.

Offering AI solutions at appropriate moments

Organisations should offer AI solutions at appropriate moments, based on the specific needs and preferences of consumers. This may involve providing AI solutions that are tailored to the individual needs of consumers, or providing AI solutions that are integrated into the consumer experience in a way that is seamless and unobtrusive.

Enabling an understanding of how AI solutions work

Organisations should enable consumers to understand how AI solutions work, and provide them with the information they need to make informed decisions about the use of AI. This may involve providing consumers with information about the algorithms and data that are used by AI systems, as well as information about the risks and benefits of using AI.

Offering reviews on the decisions made by AI solutions

Organisations should offer consumers the opportunity to review and provide feedback on the decisions made by AI solutions. This may involve providing consumers with access to information about the decisions made by AI systems, as well as offering them the opportunity to challenge or appeal these decisions if they believe they are incorrect or unfair.

By considering the information needs of consumers and offering AI solutions that are appropriate, transparent, and understandable, organizations can support the responsible and ethical use of AI, and enhance the trust and confidence of consumers in the use of AI.

Is the PAIG Framework right for your organisation? Take our AI Governance Survey and find out.

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