Ethics and Social Responsibility in Technology Innovation for Sustainability and Social Justice

Authors

  • Eugenia Brandao Da Silva Instituto Boaventura De Timor Leste
  • Abdul Gani Universiti Malaysia Sabah

Keywords:

Technology ethics, Social responsibility, Algorithmic bias, Data privacy, Technology regulation, Digital inequality, Digital literacy

Abstract

The rapid development of technology has a significant impact on human life, both in economic, social and cultural aspects. Without a clear implementation of ethics and social responsibility, technology innovation can lead to various problems, such as privacy violations, algorithmic bias, digital inequality, and resource exploitation. This research highlights the importance of integrating ethical values in technology to ensure that innovations provide equitable and sustainable benefits to society. Through a literature review approach, this research examines the main challenges in the implementation of technology ethics as well as strategies that can be applied to overcome these problems. The results of research show that strict regulations, transparency in technology development, and increased digital literacy are key factors to create an ethical and socially responsible technology ecosystem. Collaboration between the government, private sector and civil society is needed to build ethical standards that can keep pace with dynamic technological developments. Awareness of the social impact of technology should also be raised through education and public involvement in technology ethics discussions. With a comprehensive approach, technology can develop as a tool that supports the advancement of civilization without compromising moral principles and social justice. The integration of ethics in technological innovation is not just an option, but a necessity to create a more inclusive and sustainable future.

References

Angwin, J., J. Larson, S. Mattu, & L. Kirchner. 2016. Machine Bias. ProPublica, Brazil.

Benjamins, R., & I. Salazar. 2020. Towards a Framework for Understanding Societal and Ethical Implications of Artificial Intelligence. Jurnal Arxiv, 89-100.

Binns, R. 2018. Fairness in Machine Learning: Lessons from Political Philosophy. Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency, 149–159.

Brynjolfsson, E., & A. McAfee. 2014. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company, London.

Chen, J., V. Storchan, & E. Kurshan. 2021. Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice. Challenge, 16, 46-51.

Creswell, J. W. 2014. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). SAGE Publications, Thousand Oaks.

Crootof, R. 2015. The Killer Robots are Here: Legal and Policy Implications. Cardozo Law Review, 36(5), 1837–1915.

Eubanks, V. 2018. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. St. Martin's Press, USA.

Floridi, L., J. Cowls, M. Beltrametti, R. Chatila, P. Chazerand, V. Dignum, C. Luetge, R. Madelin, U. Pagallo, F. Rossi, B. Schafer, P. Valcke & E. Vayena. 2018. AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), 689–707.

Gall, M. D., J. P. Gall, & W. R. Borg. 2007. Educational Research: An Introduction (8th ed.). Boston, MA: Pearson Education, New York.

Gardi, B. & D. Darmawan. 2022. The Role of Manager Behavior in the Utilization of Accounting Information for Corporate Strategic Decision Making, Journal of Social Science Studies, 2(1), 111 – 118.

Garvie, C., A. M. Bedoya, & J. Frankle. 2016. The Perpetual Line-Up: Unregulated Police Face Recognition in America. Georgetown Law Center on Privacy & Technology, Washington.

Gay, L. R., G. E. Mills, & P. Airasian. 2012. Educational Research: Competencies for Analysis and Applications (10th ed.). Pearson, Boston.

Green, B. 2021. The Contestation of Tech Ethics: A Sociotechnical Approach to Technology Ethics in Practice. Journal of Social Computing, 2(3), 209-225.

Heacock, M., C. B. Kelly, K. A. Asante, L. S. Birnbaum, A. L. Bergman, M. N. Bruné, I. Buka, d. O. Carpenter, A. Chen, X. Huo, M. … & W. A. Suk. 2016. E-Waste and Harm to Vulnerable Populations: A Growing Global Problem. Environmental Health Perspectives, 124(5), 550–555.

Hilbert, M. 2016. The Bad News is that the Digital Access Divide is Here to Stay: Domestically Installed Technology Diffusion is Slowing Down. Telecommunications Policy, 40(6), 567–581.

Kshetri, N. 2014. Big Data׳ s Impact on Privacy, Security and Consumer Welfare. Telecommunications Policy, 38(11), 1134-1145.

Iaccarino, M. 2004. Science and Ethics. EMBO Reports, 5(4), 303–305.

Luppicini, R. 2010. Technoethics and the Evolving Knowledge Society: Ethical Issues in Technological Design, Research, Development, and Innovation: Ethical Issues in Technological Design, Research, Development, and Innovation. IGI Global, US.

Merriam, S. B. 2009. Qualitative Research: A Guide to Design and Implementation. CA: Jossey-Bass, San Francisco.

Mittelstadt, B. D., P. Allo, M. Taddeo, S. Wachter, & L. Floridi. 2016. The Ethics of Algorithms: Mapping the Debate. Big Data & Society, 3(2), 1–21.

Noble, S. U. 2018. Algorithms of Oppression: How Search Engines Reinforce Racism. New York University Press, New York.

Noorman, M. 2012. Computing and Moral Responsibility. In Stanford Encyclopedia of Philosophy. Stanford University, California.

Oluwatosin, A., D. Darmawan, & A. P. Marsal. 2021. Linkage of Employee Welfare Programs with Workforce Retention in Modern Organizational Management Policies, Journal of Social Science Studies, 1(2), 171 – 176.

Pasquale, F. 2015. The Black Box Society: The Secret Algorithms that Control Money and Information. Harvard University Press, Cambridge.

Porter, M. E., & M. R. Kramer. 2011. Creating Shared Value. Harvard Business Review, 89(1/2), 62–77.

Raghavan, M., S. Barocas, J. Kleinberg, & K. Levy. 2020. Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 469–481.

Song, Q., J. Li, & X. Zeng. 2017. Minimizing the Increasing Solid Waste Through Zero Waste Strategy. Journal of Cleaner Production, 142, 1805–1815.

Tien, J. M. 2017. Internet of Things, Real-time Decision Making, and Artificial Intelligence. Annals of Data Science, 4, 149-178.

Vayena, E., A. Blasimme, & I. G. Cohen. 2018. Machine Learning in Medicine: Addressing Ethical Challenges. PLOS Medicine, 15(11), e1002689.

Watson, R. T., M. C. Boudreau, & A. J. Chen. 2010. Information Systems and Environmentally Sustainable Development: Energy Informatics and New Directions for the IS Community. MIS Quarterly, 34(1), 23-38.

Zuboff, S. 2015. Big Other: Surveillance Capitalism and the Prospects of an Information Civilization. Journal of Information Technology, 30(1), 75–89.

Downloads

Published

2022-08-26

How to Cite

Da Silva, E. B., & Gani , A. (2022). Ethics and Social Responsibility in Technology Innovation for Sustainability and Social Justice. Bulletin of Science, Technology and Society, 1(2), 44–49. Retrieved from https://inti.ejournalmeta.com/index.php/inti/article/view/80

Similar Articles

<< < 2 3 4 5 6 7 8 9 > >> 

You may also start an advanced similarity search for this article.