Issues of fairness, accountability, transparency and ethics are rarely discussed within AIED and neighboring educational technology research communities¶

Claim · All claims
Evidence · 1 study · theoretical r1 · q1
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? Despite widespread attention to FATE in AI research, these issues are rarely discussed within AIED and neighboring educational technology research communities. → Beverly Woolf 2022

Evidence¶

Beverly Woolf 2022¶

Beverly Woolf, Kaska Porayska-Pomsta, Wayne Holmes, Ken Holstein. (2022). Introduction to IJAIED Special Issue, FATE in AIED. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00299-x

q1 · i? · theoretical · r1

The editorial's own assessment of the field, offered as motivation for the special issue; it states that "issues of FATE are rarely discussed within AIED and neighboring educational technology research communities" despite broader AI attention. No data are reported.

"Yet despite this widespread attention, issues of FATE are rarely discussed within AIED and neighboring educational technology research communities."

Discussion¶

Related Claims¶

• No included ITS study considered AI ethics, and the review calls for longer interventions, larger and more diverse samples, and ethical investigation — a narrower finding that bears on this claim
• The review identifies data privacy, algorithmic fairness, academic integrity, and unequal access as interconnected ethical concerns in AI-supported mathematics education — related
• Privacy protections lag behind reputational concerns: institutions rarely consider implications of capturing audio-visual and behavioral data from private spaces, and AI algorithms are seldom transparent about error rates — related