Call for papers: The FATE of AIED
Kaśka Porayska-Pomsta, University College London
Beverly Woolf, The University of Massachusetts Amherst
Wayne Holmes, The Open University
Ken Holstein, Carnegie Mellon University
Additional information can be found here
This special track is titled the FATE of AIED: Fairness, Accountability, Transparency, and Ethics. This IJAIED special issue seeks to move conversations about the FATE (Fairness, Accountability, Transparency, and Ethics) of AI in Education forward and to situate the field of AIED and EdTech within the broader developments and debates around the ethical dimensions of AI. In this context, we invite researchers who work on AI-supported education and EdTech to directly engage with concerns about the present and future roles of AI in education. The aim of the special issue is to develop a better understanding of how past and present AIED and EdTech efforts can contribute to rigorous and forward thinking about and practices related to FATE dimensions of AI and data sciences more broadly. Educational technologies that authors may not conceptualize as "AI" per se are still within scope. In this context, we seek contributions that:
- Situate AIED and EdTech research to date in the context of FATE of AI and that explicate why knowledge generated through AIED and EdTech research might affect how we interpret and operationalise FATE for education-oriented applications.
- Address how the definitions and concrete operationalisation of FATE dimensions can be informed by AIED and EdTech research; explore and explicate the relationship between AI interventions, human cognition, pedagogy, and FATE considerations and practices.
- Provide an evidence-based commentary on the future outlook and practices needed in relation to FATE of AIED and EdTech more specifically, and/or on the role of AIED and EdTech research in informing the creation of AI applications in other than education-oriented contexts.
Given the above, we seek the following types of papers:
- Empirical work demonstrating how FATE is achieved in AIED or EdTech applications.
- Methodological contributions showing how FATE considerations are taken into account during the design, implementation and deployment of AIED or EdTech applications.
- Historical reflections on AIED or EdTech research or a subarea of AIED and EdTech research that provide concrete and evidence-based examples of how the AIED and EdTech perspective can and should be reflected in the FATE of AI more broadly.
- Theoretical frameworks explicating (i) the nature of FATE as dimensions of relevance to AIED or EdTech, and/or (ii) how FATE are or can be instantiated in different AIED or EdTech contexts and applications;
- Papers that identify interdisciplinary research and practices of critical importance to FATE of AIED or EdTech and that demonstrate how this research can or ought to be operationalised in AIED or EdTech approaches.
- The list of “types of papers” above is not intended to be exhaustive. If you have an idea for a paper that does not fall within one of the above categories, we would strongly encourage you to contact us to discuss the potential fit (see “Submission Process and Deadline” for more details).
Topics of Interest
Topics of interest include but are not strictly limited to:
- Bridging between AIED, EdTech and FATE
- Understanding the nature of FATE (fairness, accountability, transparency and ethics) within AIED or EdTech, as distinguished from FATE in AI more broadly
- FATE of AIED or EdTech algorithms and modelling, including explainable systems
- AIED and EdTech, inclusion and equity (e.g., United Nations Sustainable Development Goal 4)
- AIED and EdTech data ethics (including privacy and data governance)
- Technical robustness and safety in AIED or EdTech systems
- AIED and EdTech and the law
- AIED and EdTech and FATE: existing principles and the development of new principles
- The FATE of AIED & EdTech systems in real world contexts
- Ethics of and trust in AIED or EdTech development and deployment
- Human autonomy and agency in the context of AIED and EdTech
- Human oversight and social impact in AIED & EdTech
- AIED and EdTech and human diversity, including identity, socio-economic, cultural, and neuro- diversity, with considerations to different forms of potential harm (e.g., harms of allocation and representation) Deepening our understanding of the FATE of AIED and EdTech
- FATE of particular pedagogical features (e.g., the use of chatbots and agents)
- FATE of learning and teaching interventions, including specific pedagogical assumptions embedded in different types of AIED or EdTech approaches (e.g., instructionism vs constructivism, personalisation vs collaboration, knowledge acquisition vs self-actualisation)
- The ethics of AIED and EdTech, including the ethics of educational practices (e.g., potential impacts on students, teachers, classrooms and educational institutions)
- The FATE of research in AIED
- Ethics of AIED and EdTech research
- FATE, AIED and EdTech research methods (e.g., the balance between research objectives and informed consents, such as the use of WOZ methods for ecological validity and informedness/deception of WOZ participants)
Submission Process and Deadline
Prospective authors are encouraged to submit a brief abstract (no more than 350 words) in advance in order to check fit with this special issue. The editors will reply with feedback on submitted abstracts within two weeks.
Deadline for submission of special issue paper: Monday, Apr 20, 2020
First round of reviews returned to authors: Monday, June 1, 2020.
Deadline for submission of revised versions: Friday, July 3, 2020.