Ethical Dimensions of AI in Educational Technology
summary
Claims and concrete numbers drive the decision: the sector is valued at nearly $90 billion (2020) and projects ~$285 billion by 2027, remote learning reaches 94% of countries with ~60% adopting platforms, adaptive systems claim 2.5× math gains and VR claims a ~7% score lift, breaches rise (noted cyber incident spike and weak protections in low‑income regions), access gaps (25% vs 96% access) persist, and specific remedies are listed — FERPA and GDPR, data governance, bias audits, human oversight and privacy by design.
AI-written summary · about
chapters (11)
- 0:00Introduction to Ethical Considerations in EdTech
- 0:47Overview of Educational Technology
- 2:20Key Technological Innovations in EdTech
- 3:55The Promise of EdTech
- 5:17Ethical Concerns in EdTech
- 6:34Privacy and Data Protection
- 7:56Equity and Access in EdTech
- 9:25Transparency and Accountability in AI Systems
- 10:48Digital Well-being and Screen Time
- 12:07Responsible Implementation Strategies
- 13:29Conclusion and Final Thoughts
related talks
25mTechnology is responsible for increasing inequality
44mPanel: AI Feminism
01h 08mWHOSE DIGITAL FUTURE? ENGAGING CITIZENS IN AI DEVELOPMENT AND IMPACT ASSESSMENT
19mEthical Bias
17mAI Law & Ethics: developing responsible AI systems
15mAI and Ethics
19mMoral Outsourcing: Humanity in the age of AI
15mEthics in tech during the age of AI