IAPP Data Protection Congress in Brussels での Viktor Mayer-Schönberger (「ビッグデータの正体」の著者)のKeynote address あるいは同じ内容が書かれた"Data Protection Principles for the 21st Century;”に対する Privacy by Design提唱者のAnn Cavoukianの論争をまとめてみた。というのは、この論争がビッグデータの利活用における個人のプライバシー情報の扱いについての本質的な論点だからだ。
IAPP Data Protection Congress in Brussels での Viktor Mayer-Schönberger (「ビッグデータの正体」の著者)のKeynote address あるいは同じ内容が書かれた"Data Protection Principles for the 21st Century;”に対する Privacy by Design提唱者のAnn Cavoukianの論争をまとめてみた。というのは、この論争がビッグデータの利活用における個人のプライバシー情報の扱いについての本質的な論点だからだ。
信頼・情報・ルール形成(Trust in Digital Life Japan - Working Group #1)Fumiko Kudoh
「信頼・情報・ルール形成」は、2018年03月06日に開催された「Trust in Digital Life Japan - Working Group #1」で報告した際の資料です。
「Trust in Digital Life」は、次世代の「信頼」を設計するためのコミュニティで、ベルギーのブリュッセルに本拠地をおく非営利団体です。日本では、NECさんが「Trust in Digital Life Japan」(TDL Japan)を立ち上げ、欧州のTDLと連携をとりながら複数の企業や研究者とともに議論の場をつくり出そうとしています。
https://wired.jp/2017/12/13/trust-in-digital-life-japan/
https://trustindigitallife.eu/
This slide shows (1) AI and Accountability , (2) AI Ethics, (2) Privacy Protection. Several AI ethics documents such as IEEE EAD, EC-HELG Ethics Guideline for Trustworthy AI, Social Principles of Human-Centric AI(Japan), focus on AI's transparency, accountability and trust. We follow the discussions of these documents around the above (1),(2) and (3) topics.
What is Accountability of AI? We answer to this question by clarifying responsibility, explainability and liability of limited autonomous AI with several bright and dark real examples.
Then we move to the concept of "Trust " which is of not limited to single AI system but group AI ‘s behavior.
K-anonymization has been regarded as a great method to make a bad person indistinguishable among k people whose quasi identifiers are same.
It, unfortunately, has a problematic side effect of defamation. In this case, defamation means the case where other good k-1 people are suspected as a bad person because both of a bad person and good people have the same quasi identifiers because of k-anonymization. This slide shows a mathematical model of defamation and proposes an algorithm which minimizes the probability of defamation.
Social Effects by the Singularity -Pre-Singularity Era-Hiroshi Nakagawa
Contents:
Stance of scientists community against Pre-Singularity problems
Amplification vs. Replacement
AI takes over jobs
Boarder line between amplification and replacement
Autonomous driver: trolley problem
The right to be forgotten
Towards black box
Responsibility
Vulnerability of financial dealing system made of many AI agent traders connected via internet
AI and weapon
Filter bubble phenomena
Analogy: Selfish gene
AI and privacy
The right to be forgotten, Profiling and Don’t Track
Feeling of friendliness to android
Again self conscious and identity