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Artificial Intelligence in Library and Educational Settings_Concerns and Opportunities.pptx

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Artificial Intelligence in Library and Educational Settings_Concerns and Opportunities.pptx


Artificial Intelligence in Library and Educational Settings Concerns and Opportunities

Introduction In this webinar, attendees will learn about Artificial Intelligence (AI), become familiar with its basic functionality, and examine specific examples of its use in library and educational settings. The presenter will also identify ways in which AI may be used in the future.


Objectives The webinar will:
describe artificial intelligence
identify ways AI can be used in library and educational settings
consider the ethics of using AI in educational settings.



Moderator
Dr. Lauren Hays
Dr. Hays is Assistant Professor of Educational Technology at the University of Central Missouri, Warrensburg, Missouri, USA.

Previously, she was an Instructional and Research Librarian at a private liberal arts university.



Target Audience
Academic librarians
Public librarians


Artificial Intelligence in Library and Educational Settings Concerns and Opportunities

Introduction In this webinar, attendees will learn about Artificial Intelligence (AI), become familiar with its basic functionality, and examine specific examples of its use in library and educational settings. The presenter will also identify ways in which AI may be used in the future.


Objectives The webinar will:
describe artificial intelligence
identify ways AI can be used in library and educational settings
consider the ethics of using AI in educational settings.



Moderator
Dr. Lauren Hays
Dr. Hays is Assistant Professor of Educational Technology at the University of Central Missouri, Warrensburg, Missouri, USA.

Previously, she was an Instructional and Research Librarian at a private liberal arts university.



Target Audience
Academic librarians
Public librarians

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Artificial Intelligence in Library and Educational Settings_Concerns and Opportunities.pptx

  1. 1. About Me • Assistant Professor of Educational Technology at the University of Central Missouri. • Previously, an Instructional and Research Librarian at a small liberal arts college.
  2. 2. Outcomes • Describe artificial intelligence • Identify ways AI can be used in library and educational settings • Consider the ethics of using AI in educational settings
  3. 3. What is Artificial Intelligence? • AI is a computer system that is able to perform tasks that normally require human intelligence such as visual perception, speech recognition, decision making, and understanding human language
  4. 4. AI Examples • Manufacturing robots • Self-driving cars • Smart assistants • Proactive healthcare management • Disease mapping • Automated financial investing • Virtual travel booking agent • Social media monitoring • Inter-team chat tool • Conversational marketing bot • Natural Language Processing (NLP) tools • -List from https://builtin.com/artificial- intelligence/examples-ai-in-industry
  5. 5. MixLab • https://mixlab.withgoogle.c om/ • MixLab is a tool created by Google that lets you mix music by telling the computer what instruments to add, what beat to use, etc.
  6. 6. Speechnotes • https://speechnotes.co/ • Speechnotes allows you to enable voice-typing on any site.
  7. 7. Teachable Machine • https://teachablemachine. withgoogle.com/ • Teachable machine is a way to train your computer to recognize images and sounds.
  8. 8. AI Experiments • https://experiments.withgo ogle.com/collection/ai • "AI Experiments is a showcase for simple experiments that make it easier for anyone to start exploring machine learning, through pictures, drawings, language, music, and more."
  9. 9. Scratch Bot • https://en.scratch- wiki.info/wiki/Creating_a_C hat_Bot • Scratch bot is a tool you can use to create a chat bot.
  10. 10. AR Experiments • https://experiments.withgo ogle.com/collection/ar • a Google tool that lets developers create new AR experiences
  11. 11. Cognimates • http://cognimates.me/get- started/ • a tool for building games, programming robots, and training AI models
  12. 12. Other examples you have seen?
  13. 13. Using AI in Libraries
  14. 14. IFLA Statement on AI in Libraries • “The adoption of artificial intelligence and machine learning systems in private and public spheres is rapidly growing. How can these developments impact both everyday practices and the broader social mission of libraries? IFLA's new statement sets out some key principles. The rapid pace of AI development and adoption raises crucial questions about intellectual freedom, equity and privacy, automation, the evolution of necessary digital literacy skills, relevant Intellectual Property policy frameworks, and more. The new IFLA FAIFE statement aims to outline key considerations for the use of AI and ML technologies in the library sector, and suggest the roles which libraries should strive to take on in a society with growing AI integration.” -Abstract
  15. 15. AI and Libraries • AI in the Library: integrating AI and machine learning technologies into everyday work • Libraries can educate users about AI, and help them thrive in a society which uses AI more extensively • Libraries can support high-quality, ethical AI research -From IFLA
  16. 16. Staying up- to-date
  17. 17. Libraries should: • Help their patrons develop digital literacies that include an understanding of how AI and algorithms work, and corresponding privacy and ethics questions. • Continue to focus their efforts to enable lifelong learning and, where possible, provide services for the unemployed. • Ensure that any use of AI technologies in libraries should be subject to clear ethical standards and safeguard the rights of their users. • Procure technologies that adhere to legal and ethical privacy and accessibility requirements. -From IFLA
  18. 18. Library trainers and associations should: • Support library professionals to understand the impact of AI as well as its intersections with privacy and ethical principles. Library training providers should ensure that librarians are able to develop relevant digital skills and competencies. • Advocate for libraries to play a bigger role in changing education systems as they adapt to the labour market changes which AI might bring. • Engage with AI researchers and developers to create applications for library use, which meet ethical and privacy standards and respond specifically to the needs of libraries and library patrons. • Act as forums for exchanging best practices on ethical use of AI technologies in libraries. -From IFLA
  19. 19. Everyday Examples of AI in Libraries • Chatbots • Database search recommendations • Content indexing • Relevant articles • Impact factors
  20. 20. Other examples you have seen?
  21. 21. Using AI in Education
  22. 22. Everyday Examples of AI in Education • Personalized learning • AI Tutors • Task automation for instructors • Increased access • Learning analytics
  23. 23. Other examples you have seen?
  24. 24. Example of AI in Education • ISTE Resources: https://www.iste.org/areas-of- focus/AI-in-education
  25. 25. The Future of AI in Libraries and Education • Increased automation • Use in all sectors • Increase in use of data • Removal of some human elements
  26. 26. AI and Ethics • Discrimination • Bias • Privacy • Removing the human element
  27. 27. Ethics of AI in Education • Informed consent • Can include minors • Importance of human connections in learning
  28. 28. Use an Ethical Framework 1. Identify stakeholders. 2. Identify values: ethical and nonethical. 3. Ethical values trump nonethical values. 4. If two ethical values conflict, the one that produce the greatest good for the greatest number wins. (Maner, 2002, p. 349)
  29. 29. Example Scenario A group of middle students are working on a coding project. Their task is to design a technology that will help others. The group decides to write a code that will trigger a camera to record video of children playing on the playground so they can identify when a child has been bullied. The teacher wants to encourage students to think more critically about this idea.
  30. 30. Ethical Procedure Guiding Question Identify stakeholders Who is involved? Who will be affected? Who will be helped? Who will be hurt? Identify values What is the value of this project? What are the reasons we should create this project? What are the reasons we should not create this project? What will happen if…(e.g. a student is embarrassed about what is seen on the video? The camera records things not related to bullying? Someone is accused incorrectly of being bullied? What if someone is bullied and the camera doesn’t catch it?) Ethical values trump non-ethical values Do any of these concerns fall within one of the core human values? (e.g. life, health, happiness, security, resources, opportunities, knowledge, privacy) If two ethical values conflict, the one that produces the greatest good for the greatest number wins Is there a way to modify this system to produce more good for more people?
  31. 31. Resources • Center for Humane Technology: https://www.humanetech.com/ • https://ethicalairesources.com/
  32. 32. Questions?
  33. 33. References • Davis, M. (2006). Integrating ethics into technical courses: Micro-insertion. Science and Engineering Ethics, 12(4), 717-730. https://doi.org/10.1007/s11948-006-0066-z • Kammer, J., & Hays, L. (2021). Coding in School Libraries: Considering an Ethical Approach. Education Libraries, 44. • Kert, S. B., Uz, C., & Gecu, Z. (2012). Scenarios for computer ethics education. Procedia-Social and Behavioral Sciences, 46, 2706-2710. • Maner, W. (2002). Heuristic methods for computer ethics. Metaphilosophy, 33(3), 339– 365. https://doi.org/10.1111/1467-9973.00231

Hinweis der Redaktion

  • The outcomes for this session are:
  • Now, let’s look at AI in education.
  • Resources for ethical considerations.

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