Ossiannilsson_UNESCO AI in edcucationand ethics of AI.pdf

UNESCO AI in Education and Ethics of AI
EBBA OSSIANNILSSON, PROFESSOR, DR. SWEDEN
OSSIANNILSSON QUALITY IN OPEN ONLINE LEARNING CONSULTANCY, I4QUALITY
23 APRIL 2024, Samarkand, Uzbekistan
Ossiannilsson_ SPHERE TAM_UNESCO AI in education and
ethics of AI_23 April 2024, Samarkand Uzbekistan

AGENDA
UNESCO Initiative, AI in Education
Ethics of AI
Coniderations of AI in Education
Ethical Leadership in the AI era
Conclusion and Q&A

Rapid technological advancements in Artificial
Intelligence (AI), as well as other advancing
technologies such as robotics, cloud computing,
and the ‘Internet of Things’, are transforming
disciplines, economies, and industries, and
challenging ideas about what it means to be
human

Ossiannilsson_ SPHERE TAM_UNESCO AI in education and ethics of AI_23 April
2024, Samarkand Uzbekistan

Ossiannilsson_
SPHERE
TAM_UNESCO
AI
in
education
and
ethics
of
AI_23
April
2024,
Samarkand
Uzbekistan

AI and Education
The integration of artificial intelligence (AI) in education presents a wide range of
benefits and opportunities that have the potential to significantly enhance teaching
and learning experiences. Some of the key benefits and opportunities of AI in
education include:
1.Personalized Learning: AI algorithms can analyze students' learning patterns,
preferences, and performance data to tailor educational content and activities to
their individual needs and learning styles. This personalized approach to learning
can help students progress at their own pace, fill knowledge gaps, and achieve
better learning outcomes.
2.Adaptive Learning Systems: AI-powered adaptive learning systems can
dynamically adjust the difficulty level and content of educational materials based
on students' progress and mastery of concepts. By providing targeted interventions
and adaptive feedback, these systems can support differentiated instruction and
help students overcome learning challenges more effectively.

AI and Education
3. Enhanced Teacher Support: AI tools and platforms can assist educators in various
aspects of their work, including lesson planning, curriculum design, assessment grading,
and student feedback. AI-powered teaching assistants can automate routine tasks,
provide insights into student performance, and offer recommendations for instructional
improvement, thereby enabling teachers to focus more on personalized instruction and
student engagement.
4. Efficient Administrative Processes: AI technologies can streamline administrative
processes within educational institutions, such as student enrollment, scheduling,
resource allocation, and academic advising. By automating routine administrative tasks
and workflows, AI can help reduce administrative burdens, improve efficiency, and free
up time for educators and administrators to focus on higher-value activities.

AI and Education
5. Data-driven Decision Making: AI-enabled analytics and data visualization tools can
analyze large volumes of educational data, such as student performance metrics,
demographic information, and learning outcomes. By generating actionable insights and
predictive analytics, AI can inform evidence-based decision-making, identify areas for
improvement, and support continuous improvement in educational practices and
policies.
6. Accessibility and Inclusivity: AI technologies have the potential to improve
accessibility and inclusivity in education by providing support for learners with diverse
needs and disabilities. AI-powered assistive technologies, such as speech recognition,
text-to-speech conversion, and image recognition, can help students with visual,
auditory, or motor impairments access educational content and participate more fully in
learning activities.

AI and Education
7. Global Reach and Scalability: AI-powered educational platforms and online learning
resources can reach learners in remote or underserved areas, enabling access to high-
quality educational content and expertise regardless of geographical location. By
leveraging the scalability of digital technologies, AI can democratize access to education
and extend learning opportunities to a broader and more diverse audience.
8. Innovative Pedagogical Approaches: AI technologies can support the development
and implementation of innovative pedagogical approaches, such as project-based
learning, inquiry-based learning, and collaborative problem-solving. By facilitating
interactive and immersive learning experiences, AI can foster creativity, critical thinking,
and collaboration among students, preparing them for success in the digital age.

AI and Education
Overall, the benefits and opportunities
of AI in education are vast and diverse,
offering the potential to transform
teaching and learning processes,
improve educational outcomes, and
create more inclusive and equitable
learning environments for all learners.
However, it is essential to consider
ethical and social implications and
ensure responsible and equitable use of
AI technologies in education.

Ethical
considerations
of AI in
Education
The integration of artificial intelligence (AI) in education
raises various ethical considerations that must be
carefully addressed to ensure responsible and equitable
use of AI technologies.
1. Data Privacy and Security: AI systems in education
often rely on collecting and analyzing large volumes of
student data, including personal information, learning
behaviors, and performance metrics. Ethical concerns
arise regarding the collection, storage, and use of sensitive
student data, as well as the potential risks of data
breaches, unauthorized access, and misuse of personal
information.
2. Algorithmic Bias and Fairness: AI algorithms used in
educational applications may inadvertently perpetuate
biases and inequalities present in the underlying data,
leading to unfair treatment or discrimination against
certain groups of students. Ethical considerations include
ensuring transparency and accountability in algorithmic
decision-making processes, mitigating bias in AI models,
and promoting fairness and equity in educational
outcomes.

Ethical considerations of AI in Education
3. Informed Consent and Autonomy: Students and educators may not always be fully
informed about the use of AI technologies in education or understand the implications
for privacy, autonomy, and decision-making. Ethical considerations include obtaining
informed consent from stakeholders for the collection and use of their data, respecting
individuals' autonomy and agency, and providing transparency about how AI
technologies are used and their potential impact on educational experiences.
4. Digital Divide and Accessibility: AI-powered educational technologies have the
potential to exacerbate existing inequalities in access to education and digital literacy
skills, particularly for marginalized and underserved populations. Ethical considerations
include ensuring equitable access to AI-enabled learning resources, addressing the
digital divide, and designing inclusive and accessible educational technologies that
accommodate diverse needs and abilities.

5. Teacher and Student Roles: The increasing use of AI technologies in education may
impact traditional roles and responsibilities of teachers and students, raising questions
about autonomy, agency, and the human-centered nature of education. Ethical
considerations include preserving the centrality of human interaction and expertise in
the learning process, empowering educators to make informed decisions about AI-
enabled pedagogical practices, and fostering meaningful engagement and collaboration
between teachers and students.
6. Accountability and Oversight: The complexity and opacity of AI systems in education
may present challenges in ensuring accountability, transparency, and oversight over
their use and decision-making processes. Ethical considerations include establishing
mechanisms for accountability and transparency in AI-driven educational systems,
implementing robust data governance frameworks, and promoting responsible use of AI
technologies through appropriate regulatory measures and ethical guidelines.

7. Social and Ethical Impact: AI technologies have the potential to influence societal
values, norms, and behaviors, shaping individuals' perceptions, attitudes, and beliefs
about education and learning. Ethical considerations include examining the broader
social and ethical implications of AI in education, fostering critical reflection and
dialogue about ethical issues, and promoting ethical literacy and responsible citizenship
among students and educators.

Ethical considerations of
AI in Education
Addressing these ethical considerations requires
interdisciplinary collaboration, stakeholder
engagement, and ongoing dialogue among
educators, policymakers, technologists, and
other stakeholders. By prioritizing ethical
principles and values in the design, development,
and deployment of AI technologies in education,
we can ensure that AI contributes positively to
educational outcomes while upholding principles
of fairness, transparency, privacy, and social
responsibility.

ALIGNING AI MODELS
To a shared vision for education
• AI is grounded in models developed
by individuals
•
AI is only an approximation to reality
•
Still need humans to define the use of
AI and map it to educational goals
•
6 desirable qualities of AI tools to align
to education, and to question how AI-
enabled the educational environment
actually is

• https://unesco.sharepoint.com/sites/EDTea
m/Shared
Documents/Forms/AllItems.aspx?ga=1&id=%
2Fsites%2FEDTeam%2FShared
Documents%2FPLS ICT - ICT in
Education%2FPublic Seminar - Digital Futures
of Education_17 April 2024%2F10. Mr
Fengchun Miao_UNESCO ED FLI
ICT.pdf&parent=%2Fsites%2FEDTeam%2FSha
red Documents%2FPLS ICT - ICT in
Education%2FPublic Seminar - Digital Futures
of Education_17 April 2024
Ossiannilsson_ SPHERE TAM_UNESCO AI in education and ethics of AI_23 April 2024,
Samarkand Uzbekistan

How Ai Support OER
Creation
…To a shared vision for
education
• By harnessing the power of AI in
these ways, educators and
content creators can not only
produce high-quality OER more
efficiently but also enhance the
accessibility, personalisation,
and overall effectiveness of
open educational resources.
OpenAI, 2023
Ossiannilsson_ SPHERE TAM_UNESCO AI in education and ethics of AI_23 April 2024,
Samarkand Uzbekistan

How AI supports OER creation
…To create OER
• Content generation
• Language translation and
localisation
• Content enhancement
• Adaptive learning materials
• Content creation
• Data analytics
• Interactive simulations
• Auto-Tagging and Metadata
Generation
• Voice and speech recognition
• Content recommendation
• Peer review and feedback
• Accessibility features
• Plagiarism detection
• Natural Language Processing
(NLP)
• Content versioning and
updating

Challenges
of using
OER
…To create
OER
• Quality Assurance
• Bias and fairness
• Customisation and
personalisation
• Learner privacy
• Accessibility
• Lack of human touch
• Costs and sustainability
• Technical infrastructure
• Pedagogical integration
• Training and professional
development
• Intellectual Property and
Licensing
• Adaptability to diverse
learning styles
Ossiannilsson_ SPHERE TAM_UNESCO AI in education and ethics of AI_23
April 2024, Samarkand Uzbekistan

Challenges of using AI
… to create OER Summary
Addressing these challenges
requires collaboration among
educators, researchers,
policymakers, and technologists to
ensure that AI-enhanced OER
contributes positively to the field of
education while upholding the
principles of openness, inclusivity,
and quality.
OpenAI, (2023)

UNESCO instruments and policy tools related to digital/AI education (1)
Instruments or tools that are not directly on digital education or AI in education but can be used as reference tools
1.1 Recommendation on Ethics of AI (2021)
https://lnkd.in/e7PNiZJZ
1.2 Readiness assessment methodology: a tool of the Recommendation on the Ethics of Artificial Intelligence
https://lnkd.in/dnCSDthN
2 Guidelines for the governance of digital platforms: safeguarding freedom of expression and access to information through a multi-stakeholder
approach
https://lnkd.in/dTg-fUmN
Instruments, policy guidance or tools specifically on digital learning and AI in education
3 UNESCO Recommendation on Open Educational Resources (2019)
https://lnkd.in/eXZiysJ
4 Beijing Consensus on AI and Education
https://lnkd.in/g8JGMyF
5 AI and Education: guidance for policy-makers
https://lnkd.in/gVjWctD

UNESCO instruments and policy tools related to digital/AI education (2)
6 Guidance on generative AI in education and research:
https://lnkd.in/dyNnk2YG
7 Guidelines for ICT in Education Policies and Masterplans
https://lnkd.in/gqQakF9j
8 Guidelines on the Development of OER Policies
https://lnkd.in/gUmjihH
9 Education and Blockchain
https://lnkd.in/e6SFh3qx
10 UNESCO ICT Competency Framework for Teachers
https://lnkd.in/eu3KPNw5
11 AI competency frameworks for teachers and students
https://lnkd.in/eaesYDrF

Ossiannilsson_ SPHERE TAM_UNESCO AI in education and ethics of AI_23 April 2024, Samarkand
Uzbekistan
https://globethics.net/events/icde-leadership-summit-2024

My Footprints
www.i4quality.se
Ebba.Ossiannilsson@gmail.com
info@i4quality.se
CARING is SHARING, SHARING is CARING
THANK YOU

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Ossiannilsson_UNESCO AI in edcucationand ethics of AI.pdf