Machine Learning and Data Ethics: a Design of Integrated Framework Towards Intelligent Decision Making

EasyChair Preprint 14102

Abstract

The rapid development of machine learning (ML) and data analytics has greatly improved intelligent decision-making. However, the use of ML models raises important ethical issues related to data confi- dentiality, bias, interpretation, and accountability. To address these chal- lenges, this paper proposes an integrated framework that integrates ML and data ethics to enable ethical decision-making. Our proposed frame- work includes several components such as data preprocessing, ML model selection, ethical evaluation, and decision making. We also discuss the importance of transparency, transparency, and accountability in ML and data ethics. Finally, we demonstrate the effectiveness of our framework using real-world case studies.

This paper presents an integrated machine learning and data ethics framework to facilitate intelligent decision making. With the heavy re- liance on machine learning algorithms and the amount of data collected, it is important to address the ethical considerations associated with this technology The framework proposed in this paper aims to illustrate ma- chine learning system design and implementation approach to prioritize ethical decision making . This development process incorporates prin- ciples such as fairness, transparency, accountability and confidentiality. The paper also discusses the challenges and potential solutions for in- tegrating ethics into machine learning and data-driven decision-making. By adopting this framework, organizations can ensure that their smart systems are not only effective but ethical as well.

Keyphrases: Accountability, Algorithms, Ethical Considerations, Organizations, Privacy, challenge solutions, data ethics, development process, fairness, integrated framework, intelligent decision-making, machine learning, responsible, transparency

@booklet{EasyChair:14102,
  author    = {Payal Thakur and Navjot Singh and Shanu Khare and Karan Sarawagi},
  title     = {Machine Learning and Data Ethics: a Design of Integrated Framework Towards Intelligent Decision Making},
  howpublished = {EasyChair Preprint 14102},
  year      = {EasyChair, 2024}}