@inproceedings{0a59d7099d6a4e21b9f181dc627e1b4f,
title = "Data Challenges and Societal Impacts – The Case in Favor of the Blueprint for an AI Bill of Rights (Keynote Remarks)",
abstract = "Artificial Intelligence (AI) technologies contribute tremendously to various areas of life and society. Therefore, we are witnessing massive investments in this area. Grand-view Research has calibrated the global AI market at 93.5 billion dollars as of 2021. Further, according to their report, it is expected to grow at a compound annual growth rate (CAGR) of 38.1\% from 2022 to 2030. It is believed that nations that adopt and use AI will have a competitive edge. AI, in some form, will be part of most products and services we use. This manuscript documents some of the challenges, tradeoffs, and remedies concerning BIG DATA in the age of Artificial Intelligence. The paper also provides a brief overview of the maladies that plague the landscape of BIG DATA and some academic literature that provides solutions to the problems in the context of AI. The driving motivation for writing this article is to highlight our responsibility to create algorithms and automated systems that do not harm and are equitable and just. I also hope to create awareness that leads to businesses and software laboratories that focus on testing software and data that alleviates our fear - modeling the work of the US Food and Drug Administration. The tenets echoed in this concord with the Blueprint for an AI Bill of Rights released by the United States (US) White House Office of Science and Technology Policy (OSTP) on October 4, 2022, and the AI Risk Management Framework by the US National Institute of Standards and Technology.",
keywords = "Artificial intelligence, Autonomous systems, Big data, Bill of rights, Deep leaning, Intelligent systems, Machine learning",
author = "Raj Sharman",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 10th International Conference on Big Data Analytics, BDA 2022 ; Conference date: 19-12-2022 Through 22-12-2022",
year = "2022",
doi = "10.1007/978-3-031-24094-2\_1",
language = "English",
isbn = "9783031240935",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3--15",
editor = "Roy, \{Partha Pratim\} and Arvind Agarwal and Tianrui Li and \{Krishna Reddy\}, P. and \{Uday Kiran\}, R.",
booktitle = "Big Data Analytics - 10th International Conference, BDA 2022, Proceedings",
address = "Germany",
}