Survey on Artificial Intelligence and Ethics

On this page, I’ve listed down some of the references I am gathering of late while surveying about AI, ethics and data protection. Here are some:

  1. Sidi Ahmed, Sidi Mohamed and Zulhuda, Sonny (2019) Data protection challenges in the internet of things era: an assessment of protection offered by PDPA 2010. International Journal of Law, Government and Communication, 4 (17). pp. 1-12, at https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID3513528_code2666494.pdf?abstractid=3513528&mirid=1.
  2. Berkman Klein Center for Internet and Society at Harvard University. Ethics and Governance of AI, at https://cyber.harvard.edu/topics/ethics-and-governance-ai
  3. Berkman Klein Center for Internet and Society at Harvard University. Artificial Intelligence in Society, at https://cyber.harvard.edu/story/2019-06/artificial-intelligence-society.
  4. OECD, “Report on AI in Society”, Digital Journal 12 June 2019, at http://www.digitaljournal.com/tech-and-science/technology/oecd-issues-report-on-ai-in-society/article/551839.
  5. OECD, Artificial Intelligence in Society, Report published on June 11, 2019, at https://read.oecd.org/10.1787/eedfee77-en?format=pdf.
  6. Draft: A UN System-wide Strategic Approach and Roadmap for Supporting
    Capacity Development on Artificial Intelligence, at https://drive.google.com/file/d/1eVao9WvzDPyKIVp9Pcti9_BEDQc5cncy/view.
  7. “Artificial Intelligence & Human Rights: Opportunities & Risks,” Berkman Klein Center Research Publication No. 2018-6, at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3259344.
  8. International Telecommunication Union (ITU), Report on “Artificial Intelligence (AI) for Development Series – Module on Setting the Stage for AI Governance: Interfaces, Infrastructures, and Institutions for Policymakers and Regulators,” July 2018, at https://www.itu.int/en/ITU-D/Conferences/GSR/Documents/GSR2018/documents/AISeries_GovernanceModule_GSR18.pdf.
  9. World Economic Forum (WEF), Artificial Intelligence and Robotics, at https://www.weforum.org/agenda/archive/artificial-intelligence-and-robotics/.
  10. Princeton University. Dialogues on AI and Ethics: Case Studies, at https://aiethics.princeton.edu/case-studies/case-study-pdfs/

  11. Artificial Intelligence for Global Good, ITU News Magazine 01/2018, at https://www.itu.int/en/itunews/Documents/2018/2018-01/2018_ITUNews01-en.pdf.

  12. G20 Ministerial Statement on Trade and Digital Economy (Including on AI), at https://www.mofa.go.jp/files/000486596.pdf.

  13. SMU Centre for AI and Data Governance (CAIDG), at https://caidg.smu.edu.sg/.

 

Menyoal Tren “10 Years Challenge”

By: Sonny Zulhuda

jpdp

Akhir-akhir ini pengguna media sosial pasti sudah banyak melihat foto-foto transformasi wajah yang dilabel hashtag #10yearschallenge. Tidak kurang, politisi dunia hingga artis dan selebriti pun berpartisipasi dalam trend yang satu ini. Aktivitas ini dimanfaatkan oleh masyarakat media sosial sebagai bahan hiburan dan obrolan yang menarik dan tidak jarang menggelitik.

Namun, mungkin banyak yang sadar bahwa foto-foto yang disebar itu akan memudahkan pihak media sosial atau pihak ketiga untuk melakukan beberapa pekerjaan mereka seperti:

1. Penyempurnaan database wajah individu berikut kronologi tahun dan usia.
2. Penelitian pola transformasi wajah manusia berdasarkan usia, periode, dan demografi lainnya seperti ras, gender, lingkungan, dan lainnya.
3. Pemrograman pada teknologi artificial ingelligence dalam melakukan rekaan wajah secara lebih akurat.
4. Identifikasi dan penyamaran.

Apalagi, dengan label yang sangat indikatif seperti #10yearschallenge akan semakin memudahkan penyaringan dan interpretasi data sehingga memberikan jalan pintas untuk pencarian data itu sendiri. Label hashtag itu sama dengan fungsi metadata. Semakin banyak hashtag, maka akan semakin mudah pencarian data tersebut di domain publik.

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