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7) Data science poses several ethical challenges to us. Discuss. Also,  discuss how data ethics can help us to deal with those challenges.(250 words)

Topic-   Ethics and Human Interface: Essence, determinants and consequences of Ethics in human actions; dimensions of ethics; ethics in private and public relationships.

7) Data science poses several ethical challenges to us. Discuss. Also,  discuss how data ethics can help us to deal with those challenges.(250 words)

Reference

Directive word

Discuss- This is an all-encompassing directive which mandates us to write in detail about the key demand of the question. We also have to discuss about the related and important aspects of the question in order to bring out a complete picture of the issue in hand.

Key demand of the question.

The question wants us to write in detail as to how the newly emerging field of data science poses some ethical challenges to us and then we have to discuss in detail about how data ethics can help us deal with those challenges.

Structure of the answer

Introduction– write a few introductory lines about the increasing role and importance of data science. E.g Data science provides huge opportunities to improve private and public life, as well as our environment. But they also pose several ethical challenges to us etc.

Body-

  • Discuss in detail about how the newly emerging field of data science poses some ethical challenges. E.g The extensive use of increasingly more data—often personal, if not sensitive (big data)—and the growing reliance on algorithms to analyse them in order to shape choices and to make decisions (including machine learning, artificial intelligence and robotics), as well as the gradual reduction of human involvement or even oversight over many automatic processes, pose pressing issues of fairness, responsibility and respect of human rights, among others etc.
  • Discuss the concept of data ethics and how it can help us overcome those challenges. E.g data ethics is a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing and use), algorithms (including artificial intelligence, artificial agents, machine learning and robots) and corresponding practices (including responsible innovation, programming, hacking and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data ethics builds on the foundation provided by computer and information ethics but, at the same time, it refines the approach endorsed so far in this research field, by shifting the level of abstraction of ethical enquiries, from being information-centric to being data-centric etc.

Conclusion–  sum up your discussion in a few lines and form a fair and a balanced conclusion on the above issue.