BILTEVT2024Ethical Leadership in Education in the Age of Openness and A.pdf

My presentation at the BILITEVT24 on 25 September 2024

1. EthicalLeadershipin Educationin the Age of
Opennessand AI
25th September 2024
EBBA OSSIANNILSSON, PROFESSOR, DR. SWEDEN
OSSIANNILSSON QUALITY IN OPEN ONLINE LEARNING
CONSULTANCY, I4QUALITY

2. 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 challengingideas
about what it means to be human

3. UNESCO Framework 2024

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. Ethical considerations of AI
in Education
Ossiannilsson_ SPHERE TAM_The Four Pillars for HE 25 September_2024,
Samarkand Uzbekistan
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.

10. Ethical considerations of AI
in Education
Ossiannilsson_ SPHERE TAM_The Four Pillars for HE 25 September_2024,
Samarkand Uzbekistan
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.

11. Ethical considerations of AI
in Education
Ossiannilsson_ SPHERE TAM_The Four Pillars for HE 25 September_2024,
Samarkand Uzbekistan
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.

12. Ethical
considerations of AI
in Education
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.
Ossiannilsson_ SPHERE TAM_The Four Pillars for HE 25 September_2024,
Samarkand Uzbekistan

13. 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.
Ossiannilsson_ SPHERE TAM_The Four Pillars for HE 25 September_2024,
Samarkand Uzbekistan

14. 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
Ossiannilsson_ SPHERE TAM_The Four Pillars for HE 25
September_2024, Samarkand Uzbekistan

15. Ossianni lsson_ SPHERE TAM_ The Four Pi llars for HE 25 September_ 2024, S amarkand U zbekistan
and ethics of AI_23 April 2024, Samar kand U zbeki stan

16. Defining Ethical Leadership: Explore the core
principles of ethical leadership, such as
integrity, transparency, fairness, and
responsibility.
Relevance in Education: Highlight the
importance of ethical leadership in
creating safe, equitable, and inclusive
learning environments.
Understanding Ethical Leadership in a Digital World

17. Open Access and Knowledge Sharing: Discuss
the rise of open educational resources (OER),
open data, and the democratization of knowledge
in education.
Challenges of Openness: Explore
concerns like misinformation, intellectual
property rights, privacy issues, and data
security in an open educational landscape.
Openness and Its Implications

18. AI-Powered Tools: Discuss the growing use of AI in
personalized learning, administrative tasks, and content
creation.
Ethical Considerations of AI: Address issues related to
bias in algorithms, student data privacy, and the potential
for AI to perpetuate inequalities.
Human-AI Collaboration: Emphasize the need for human
oversight in AI implementation to ensure ethical outcomes
and to protect student welfare.

19. Balancing Innovation with Ethics
•Informed Decision-Making: Encourage
educational leaders to critically assess the use of
AI and other technologies, ensuring that
innovations serve educational goals while
protecting students and educators.
•Creating Ethical Policies: Advocate for the
development of policies that promote responsible
AI use and safeguard personal data, ensuring that
technology aligns with educational values.

20. Fostering a Culture of Openness and
Accountability: Encourage a culture where
ethical decision-making is part of the institution's
core, with transparency in technology use and a
commitment to student and educator well-being.
Training and Development: Equip educators with
the skills to navigate ethical challenges in AI and
openness, including understanding the
technological tools at their disposal and their
potential risks.
Leadership
Strategies for the
Future

21. Promoting Digital Literacy: Teach
students to critically evaluate AI
tools, data sources, and open
content while protecting their own
privacy and intellectual property.
Encouraging Ethical Use of AI by
Students: Provide guidance on how
students can responsibly use AI tools
for learning without compromising
ethics or academic integrity.
Student
Empowerment
and Ethical AI
Use

22. Ossianni lsson_ SPHERE TAM_ The Four Pi llars for HE 25 September_ 2024, S amarkand U zbekistan

23. My Footprints
www.i4quality.se
[email protected]
[email protected]
CARING is SHARING, SHARING is CARING
THANK YOU