Data Transparency with Blockchain and AI Ethics

Author:

Bertino Elisa1,Kundu Ahish2,Sura Zehra3

Affiliation:

1. Purdue University, West Lafayette, IN, USA

2. IBM Research, West Lafayette, IN, USA

3. IBM Research, Yorktown Heights, NY, USA

Abstract

Providing a 360° view of a given data item especially for sensitive data is essential toward not only protecting the data and associated privacy but also assuring trust, compliance, and ethics of the systems that use or manage such data. With the advent of General Data Protection Regulation, California Data Privacy Law, and other such regulatory requirements, it is essential to support data transparency in all such dimensions. Moreover, data transparency should not violate privacy and security requirements. In this article, we put forward a vision for how data transparency would be achieved in a de-centralized fashion using blockchain technology.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems and Management,Information Systems

Reference12 articles.

1. Guruduth Banavar. 2016. Learning to trust artificial intelligence systems Accountability compliance and ethics in the age of smart machines. Accessed on Oct. 12 2018 from https://www.alain-bensoussan.com/wp-content/uploads/2017/06/34348524.pdf. Guruduth Banavar. 2016. Learning to trust artificial intelligence systems Accountability compliance and ethics in the age of smart machines. Accessed on Oct. 12 2018 from https://www.alain-bensoussan.com/wp-content/uploads/2017/06/34348524.pdf.

2. Lecture Notes in Computer Science;Bertino Elisa,2014

3. Redefining Data Transparency: A Multidimensional Approach

4. IBM THINK Blog. 2017b. Transparency and Trust in the Cognitive Era. Accessed on Sept. 15 2018 from https://www.ibm.com/blogs/think/2017/01/ibm-cognitive-principles/. IBM THINK Blog. 2017b. Transparency and Trust in the Cognitive Era. Accessed on Sept. 15 2018 from https://www.ibm.com/blogs/think/2017/01/ibm-cognitive-principles/.

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