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Principles
Minimise risks of harms
Principles
Ensure their abilities to make free and informed decisions about their own lives
Principles
Effectiveness
**Creators and operators shall provide evidence of the ef...
Principles
Maximise potential for benefits
Principles
Safeguard their autonomy, their power to express themselves, and their right to be heard
Principles
CARE for the wellbeing of each and all
“• Design and deploy AI systems to foster and to cultivat...
Principles
Pillar of the Ethically Aligned Design Conceptual Framework: Political Self-Determination and Data Agency
"A/IS—if designed and implemented properly— have a great ...
Principles
Use the advancement and proliferation of AI technologies to strengthen the developmentally essential relationship between interacting human beings.
Principles
Prioritise diversity, participation, and inclusion at all points in the design, development, and deployment processes of AI innovation.
Principles
Use AI technologies to foster this capacity to connect so as to reinforce the edifice of trust, empathy, reciprocal responsibility, and mutual understanding upon which all ethically wellfounded social orders rest
Principles
Awareness of misuse
**Creators shall guard against all potential misuses and ...
Principles
Data agency
**A/IS creators shall empower individuals with the abilit...
Principles
Treat all individuals equally and protect social equity
Principles
Transparency
**The basis of a particular A/IS decision should always b...
Principles
Secure their capacities to make well-considered and independent contributions to the life of the community
Principles
RESPECT the dignity of individual persons
“• Ensure their abilities to make free and informed decis...
Principles
Fairness
“The development, deployment and use of AI systems must b...
Principles
Competence
**Creators shall specify and operators shall adhere to th...
Principles
Autonomy
Principles
Prioritise the safety and the mental and physical integrity of people when scanning horizons of technological possibility and when conceiving of and deploying AI applications
Principles
Respect for persons
"1.10 Respect for human beings is a recognition of their ...
Principles
Fairness in distribution of burden and benefits of research
Principles
Consider long-range and indirect impacts
Principles
Merit and Integrity
"Unless proposed research has merit, and the researchers ...
Principles
Privacy
"respect the privacy, confidentiality and cultural sensit...
Principles
ensuring respect for persons is maintained in the design
Principles
Respect for human autonomy
“respect for human autonomy The fundamental rights upon w...
Principles
Freedom of the individual
“Human beings should remain free to make life decisions f...
Principles
Respect for human dignity
“Human dignity encompasses the idea that every human bein...
Principles
Equality, non-discrimination and solidarity
“Equality, non-discrimination and solidarity - including ...
Principles
Justice
"1.4 In research that is just:1. (a) taking into account ...
Principles
Pillar of the Ethically Aligned Design Conceptual Framework: Universal Human Values
"A/IS can be an enormous force for good in society provid...
Principles
Citizens' rights
“Citizens benefit from a wide array of rights, including ...
Principles
Agency (including respect for views, opportunity to be heard (participation, input into research, fair representation)
Principles
Privacy and data governance
“Privacy and data governance including respect for privac...
Principles
Technical robustness and safety
“Technical robustness and safety including resilience to ...
Principles
Accountability
**A/IS shall be created and operated to provide an unambi...
Principles
PROTECT the priorities of social values, justice, and the public interest
“• Treat all individuals equally and protect social equit...
Principles
Use digital technologies as an essential support for the protection of fair and equal treatment under the law
Principles
Diversity, non-discrimination, and fairness
“Diversity, non-discrimination, and fairness including ac...
Principles
Think big-picture about the wider impacts of the AI technologies you are conceiving and developing. Think about the ramifications of their effects and externalities for others around the globe, for future generations, and for the biosphere as a whole
Principles
Wellbeing
**A/IS creators shall adopt increased human well-being as...
Principles
that is designed to achieve its aims rigorously
Principles
Prioritise social welfare, public interest, and the consideration of the social and ethical impacts of innovation in determining the legitimacy and desirability of AI technologies
Principles
Design and deploy AI systems to foster and to cultivate the welfare of all stakeholders whose interests are affected by their use
Principles
and with suitable resources to conduct the work as proposed
Principles
do research that is justifiable by potential benefit
Principles
and that the work is carried out with suitable expertise
Principles
Respect for democracy, justice and the rule of law
“All governmental power in constitutional democracies mus...
Principles
Prevention of harm
“AI systems should neither cause nor exacerbate harm29 or...
Principles
Safeguard the integrity of interpersonal dialogue, meaningful human connection, and social cohesion
Principles
Beneficence
"1.6 The likely benefit of the research must justify any ...
Principles
Human agency and oversight
“Human agency and oversight including fundamental rights,...
Principles
Encourage all voices to be heard and all opinions to be weighed seriously and sincerely throughout the production and use lifecycle
Principles
Societal and environmental wellbeing
“Societal and environmental wellbeing including sustainab...
Principles
Informed consent
Principles
CONNECT with each other sincerely, openly, and inclusively
“• Safeguard the integrity of interpersonal dialogue, mea...
Principles
Pillar of the Ethically Aligned Design Conceptual Framework: Technical Dependability
"**Technical Dependability: **Ultimately, A/IS should del...
Principles
Support their abilities to flourish, to fully develop themselves, and to pursue their passions and talents according to their own freely determined life plans
Principles
Utilise AI innovations pro-socially so as to enable bonds of interpersonal solidarity to form and individuals to be socialised and recognised by each other
Principles
Transparency
“Transparency including traceability, explainability and ...
Principles
Respect for human rights
"**A/IS shall be created and operated to respect, promote...
Principles
Explicability
“Explicability is crucial for building and maintaining us...
Principles
and grounded in literature and prior knowledge
Principles
Do no harm with these technologies and minimise the risks of their misuse or abuse
Principles
Use AI to empower and to advance the interests and well-being of as many individuals as possible
Principles
Protection of vulnerable persons
Principles
Accountability (Edu)
“Accountability including auditability, minimisation and ...
Strategies
Overview of considerations in transparency
“Requirements of Trustworthy AI The principles outlined i...
Strategies
Questions to consider in key stages of AI and machine learning based research, regarding legitmacy and power in consent
“Conducting research, especially with complex and often o...
project-design reflection-questions
Strategies
Principle of Accountability, key considerations
"When considering the role of accountability in the AI pr...
Strategies
Considerations in assessing trustworthy AI - Sustainable and environmentally friendly AI
“Compliance with this assessment list is not evidence of ...
governance-question sustainability
Strategies
Trust identity verification services to validate and protect identity
"**Issue: **How can we increase agency by providing indiv...
Strategies
Educate the learners in formal education, the public, professionals, and policy makers for designing, and working alongside, AI to advance the SDGs.
## "RecommendationsEducation with respect to A/IS must be...
Strategies
Guiding questions for educators regarding Diversity, non-Discrimination, and Fairness of AI in Education
- “Is the system accessible by everyone in the same way w...
Strategies
Questions to consider in key stages of AI and machine learning based research, regarding sociotechnical context
“The first step is to create an understanding of the AI, ...
project-inception reflection-questions
Strategies
Considerations in assessing trustworthy AI - Resilience to attack and security
“Compliance with this assessment list is not evidence of ...
Strategies
Questions to consider in SoTL research method selection
Methods:- What methods will you use in your investigation...
education-research reflection-questions
Strategies
Monitor impact of affective AI in care on human-human relationships and implement safeguards
## "RecommendationsAs this technology develops, it is imp...
Strategies
How do we navigate individual choice of technology engagement and school or system-wide procurement?
"Local and national educational authorities must work to ...
Strategies
Guiding questions for educators regarding Societal and Environmental Wellbeing of AI in Education
“• How does the AI system affect the social and emotional...
Strategies
Considerations in assessing trustworthy AI - Access to data
“Compliance with this assessment list is not evidence of ...
Strategies
Questions to consider in key stages of AI and machine learning based research, regarding transparency and explainability
The scientific method requires a high degree of transpare...
governance-question project-dissemination reflection-questions
Strategies
Questions to consider in key stages of AI and machine learning based research, regarding corporate-academic research interaction
"[Questions to] help researchers in identifying the ethic...
Strategies
Questions to consider in key stages of AI and machine learning based research, regarding downstream responsibility
Models can be used in a variety of ways, or they may infl...
internet-research project-dissemination reflection-questions
Strategies
Considerations in assessing trustworthy AI - Reliability and reproducibility
“Compliance with this assessment list is not evidence of ...
Strategies
Company culture, values, codes, and power structures should enable speaking to ethical concerns
## "RecommendationsEmployees should be empowered and enco...
Strategies
Systematic analysis of consequences, transparency, user agency, and safeguards are central to implementation of AI nudges
## "Recommendations1\.Systematic analyses are needed that...
Strategies
Design recommendations for affective systems
## "Recommendations1\.A well-designed affective system wi...
Strategies
Considerations in assessing trustworthy AI - Fallback plan and general safety
“Compliance with this assessment list is not evidence of ...
Strategies
Principle of Discriminatory non-harm for fairness, key considerations for implementation fairness
"Implementation fairness When your project team is approa...
Strategies
Questions to consider in key stages of AI and machine learning based research, regarding aims and risks
“The aim, purpose, and perceived benefits of a project ne...
project-design reflection-questions
Strategies
Questions to consider in key stages of AI and machine learning based research, regarding data collection
“Data collection for the model training and the research ...
project-design reflection-questions
Strategies
Considerations in assessing trustworthy AI - Accuracy
“Compliance with this assessment list is not evidence of ...
Strategies
Establish corporate ethics review boards
## RecommendationsOrganizations should clarify the relati...
Strategies
Questions to consider in SoTL research professional learning
- Whom can you talk to about the [...] questions [provide...
education-research reflection-questions
Strategies
Considerations in assessing trustworthy AI - Communication
“Compliance with this assessment list is not evidence of ...
Strategies
Key discussion points for planning SoTL research regarding power relationships
## Conflicts of Interestand Power Relationships“**Key Pri...
education-research reflection-questions
Strategies
AI assistants should be created to help users understand and manage how their data is being used
"Algorithmic agents should be developed for individuals t...
Strategies
Principle of Sustainability, key considerations and impact assessment
"SustainabilityDesigners and users of AI systems should r...
impact-assessment reflection-discussion sustainability
Strategies
Consider tensions and absolute rights
“Tensions may arise between the above principles, for whi...
Strategies
Affective systems should be configurable to cultural context
## "RecommendationsAssuming that well-designed affective ...
Strategies
Key discussion points for planning SoTL research regarding secondary analysis of data
Including the principles (which are drawn from the Canadi...
education-research reflection-questions
Strategies
Identify priorities and develop standards for the governance of AI research
## RecommendationsThe IEEE and other standards-setting bo...
Strategies
Considerations in assessing trustworthy AI - Social impact
“Compliance with this assessment list is not evidence of ...
governance-question sustainability
Strategies
Questions to consider regarding re-identification and issues of justice in IP
“How are findings presented? - What immediate or future r...
Strategies
Considerations in assessing trustworthy AI - Minimising and reporting negative impacts
“Compliance with this assessment list is not evidence of ...
Strategies
Understand the impact of A/IS on society
## RecommendationsTo understand the impact of A/IS on soc...
Strategies
Questions to consider in assessing benefits
“What are potential benefits associated with this study? ...
Strategies
Principle of Safety, key considerations
"Beyond safeguarding the sustainability of your AI projec...
Strategies
Consider developing strategies for specific context of humanitarian action
See also \[Engine Room report In the humanitarian sector’...
Strategies
Questions to consider regarding access to a context (and data) and the perceptions and autonomy of those related to that context regarding access to it
- "How is the context (venue/participants/data) being acc...
Strategies
Considerations in assessing trustworthy AI - Human oversight
“Compliance with this assessment list is not evidence of ...
Strategies
Principle of Discriminatory non-harm for fairness, key considerations for outcome fairness
"Once you and your project team have thoroughly considere...
Strategies
Guiding questions for educators regarding Privacy and Data Governance of AI in Education
- "Are there mechanisms to ensure that sensitive data is ...
Strategies
Questions to consider regarding protection of vulnerable populations
“What particular issues might arise around the issue of m...
Strategies
Considerations in assessing trustworthy AI - Stakeholder participation
“Compliance with this assessment list is not evidence of ...
Strategies
Guiding questions for educators regarding Accountability of AI in Education
- "Who is responsible for the ongoing monitoring of resul...
Strategies
Guiding questions for educators regarding Technical Robustness and Safety of AI in Education
- Is there sufficient security in place to protect agains...
Strategies
Considerations in assessing trustworthy AI - Unfair bias avoidance
“Compliance with this assessment list is not evidence of ...
Strategies
Considerations in assessing trustworthy AI - Fundamental rights
“Compliance with this assessment list is not evidence of ...
governance-question sustainability
Strategies
Roles regarding ethics should have leadership capacity, to foster ethical culture across the organisation
## RecommendationsCompanies should create roles for senio...
Strategies
Foundational issue: Promotion of Transparency
“AI models in edtech will be approximations of reality an...
Strategies
Always Center Educators in Instructional Loops
“To succeed with AI as an enhancement to learning and tea...