Artificial Intelligence: Friend or Foe?
(Image Credit: Pexels)
(Image Credit: Walton College - University of Arkansas)
(Image Credit: IEEE Innovation at Work)
February 5, 2024
Kevin Yacub
11th Grade
Tzu Chi Secondary School
Introduction
Within the modern era, artificial intelligence (AI) has become one of the most rapidly developing fields of technology. This simulation of human intelligence has now become a significant part of life, from voice-activated virtual assistants to the recommendation algorithms on streaming services. However, with the development of AI, ethical considerations must be placed for the parameters of utilizing it as a form of service to one’s advantage. These ethical considerations would serve as a guiding framework that ensures AI technologies are developed and used in a manner that provides respect toward human rights and societal norms.
Ethical Implications of Artificial Intelligence
It is of paramount importance as artificial intelligence systems progress in their capabilities that researchers contemplate approaches to safeguarding the fair, transparent, and privacy-respecting treatment of all people subject to such technologies through every stage of these technologies' development and use. However, the deployment of AI introduces ethical concerns, notably in cases where AI systems may unintentionally perpetuate societal biases ingrained in their training data, resulting in unjust consequences. This is particularly alarming in critical areas like criminal justice and employment. The extensive application of artificial intelligence in monitoring technologies risks infringing upon individuals' privacy, stirring questions regarding the amount of control people have over their private information in such a data-driven world.
Despite these difficulties, AI holds the potential for ethical applications. In the healthcare sector, AI can assist biologists in more precise disease diagnoses and outcome predictions, ultimately enhancing patient care. Likewise, in the realm of education, artificial intelligence has the potential to cultivate customized pedagogical settings geared toward each student's distinct requirements, thereby promoting diversity and equitable chances for all learners. It is crucial, however, that the ethical utilization of AI is supported by comprehensive guidelines and regulations ensuring transparency, fairness, and privacy. These guidelines serve as a guide for both developers and users of AI, aiding them in navigating the ethical considerations inherent in AI.
Ethical Implications Placed by the United Nations
The United Nations Educational, Scientific and Cultural Organization (UNESCO) emphasizes several ethical considerations about AI that must be carefully examined to ensure such technologies progress responsibly and for the benefit of humanity. A primary concern is fairness and bias, with the UN cautioning that AI systems may unintentionally perpetuate societal biases present in their training data, leading to unjust outcomes, especially in critical areas such as criminal justice and hiring.
For example, consider an AI system employed in the hiring process. If its training data incorporates historical hiring information from a company that, consciously or unconsciously, exhibited a bias towards a specific group, the AI system may learn to replicate this bias. This could result in the exclusion of well-qualified candidates solely based on their affiliation with a group historically underrepresented in the training data, illustrating how AI bias can lead to inequitable results.
Similarly, within the criminal justice system, technologies are commonly applied to anticipate potential criminal conduct and to inform determinations concerning release on bail, punishment, and probation in a manner that maintains complexity. If the training data for these predictive systems reflects biases from past law enforcement or judicial decisions, the AI system might perpetuate these biases, resulting in unjust outcomes. These instances underscore the critical ethical considerations of fairness and bias avoidance in AI. They emphasize the necessity for ethical and meticulous data collection and usage, transparency in AI decision-making processes, and ongoing monitoring and auditing of AI systems to identify and mitigate bias.
UNESCO, through its initiatives, underscores these principles and advocates for the development of AI systems that uphold human rights, and demonstrate fairness, transparency, and accountability. Developing AI technologies with inclusivity in mind will help ensure their benefits reach all of humanity while avoiding potential unintended negative impacts on certain segments of society. In alignment with UNESCO's overarching aim to cultivate peace, abolish poverty, and encourage sustainable progress and cross-cultural exchange through pedagogy, scientific discipline, culture, communication, and information, it pursues building understanding between separate communities.
Conclusion
As Artificial Intelligence (AI) advances, ethical considerations are expected to be very significant in steering its development. Forecasts suggest that upcoming AI systems will be intentionally designed with ethics as a foundational element, integrating principles of fairness, transparency, and privacy into their core architecture. To guarantee the ethical deployment of AI, essential measures include the establishment of comprehensive global AI ethics guidelines, heightened transparency in AI systems, and the implementation of robust oversight mechanisms.
While AI introduces numerous ethical challenges, it also provides opportunities for ethical applications. As humanity advances in creating and applying artificial intelligence, ensuring that ethical issues stay at the forefront is essential. This approach ensures that the advantages of AI are harnessed without compromising on ethical values. Entering a new age of artificial intelligence, developing technologies that both augment human potential and uphold ethical standards is of utmost importance if humans harness their power responsibly. Technologies that augment human capabilities have the potential to help humanity if developed and applied judiciously with compassion and care for all people.
Reference Sources
Candelon, François, et al. “AI Regulation Is Coming.” Harvard Business Review, 1 Sept. 2021,
https://hbr.org/2021/09/ai-regulation-is-coming. Accessed 11 Jan. 2024.
Capitol Technology University. “The Ethical Considerations of Artificial Intelligence.” Www.captechu.edu, Capitol Technology University, 30
May 2023, www.captechu.edu/blog/ethical-considerations-of-artificial-intelligence. Accessed 10 Jan. 2024.
Chen, Claire. “AI Will Transform Teaching and Learning. Let’s Get It Right.” Stanford HAI, Stanford University, 9 Mar. 2023,
https://hai.stanford.edu/news/ai-will-transform-teaching-and-learning-lets-get-it-right. Accessed 11 Jan. 2024.
Fazlioglu, Müge. “US Federal AI Governance: Laws, Policies and Strategies.” Iapp, Nov. 2023,
https://iapp.org/resources/article/us-federal-ai-governance/. Accessed 11 Jan. 2024.
IBM Education. “The Benefits of AI in Healthcare.” IBM Blog, 11 July 2023,
www.ibm.com/blog/the-benefits-of-ai-in-healthcare/. Accessed 11 Jan. 2024.
Kopp, Wendy. “How AI Can Accelerate Students’ Holistic Development and Make Teaching More Fulfilling.” World Economic Forum, 1 May
2023, www.weforum.org/agenda/2023/05/ai-accelerate-students-holistic-development-teaching-fulfilling/. Accessed 11 Jan. 2024.
Lopez, Julie. “AI in the Criminal Justice System.” Harvard Technology Review, 26 Mar. 2023,
10 Jan. 2024.
Nouri, Steve. “How AI Is Making an Impact on the Surveillance World.” Forbes, 4 Dec. 2020,
www.forbes.com/sites/forbestechcouncil/2020/12/04/how-ai-is-making-an-impact-on-the-surveillance-world/?sh=6340bcd7265e. Accessed 10 Jan. 2024.
Rigano, Christopher. “Using Artificial Intelligence to Address Criminal Justice Needs.” National Institute of Justice, 8 Oct. 2018,
https://nij.ojp.gov/topics/articles/using-artificial-intelligence-address-criminal-justice-needs. Accessed 10 Jan. 2024.
Spatharou, Angela, et al. “Transforming Healthcare with AI: The Impact on the Workforce and Organizations | McKinsey.”
Mckinsey.com, 10 Mar. 2020, www.mckinsey.com/industries/healthcare/our-insights/transforming-healthcare-with-ai. Accessed 11 Jan. 2024.
UNESCO. “Artificial Intelligence.” Unesco.org, 2022,
www.unesco.org/en/artificial-intelligence. Accessed 11 Jan. 2024.
UNESCO. “Artificial Intelligence in Education | UNESCO.” Www.unesco.org, 2019,
www.unesco.org/en/digital-education/artificial-intelligence. Accessed 11 Jan. 2024.
United Nations. “Artificial Intelligence Risks to Privacy Demand Urgent Action – Bachelet.” OHCHR, 15 Sept. 2021,
www.ohchr.org/en/2021/09/artificial-intelligence-risks-privacy-demand-urgent-action-bachelet. Accessed 10 Jan. 2024.
United Nations. “Ethical Impact Assessment: A Tool of the Recommendation on the Ethics of Artificial Intelligence.”
unesco.org, 28 July 2023,
www.unesco.org/en/articles/ethical-impact-assessment-tool-recommendation-ethics-artificial-intelligence. Accessed 11 Jan. 2024.
United Nations. “Regulation Essential to Curb AI for Surveillance, Disinformation: Rights Experts | UN News.” News.un.org, 2 June 2023,
https://news.un.org/en/story/2023/06/1137302. Accessed 10 Jan. 2024.
United Nations. “Spyware and Surveillance: Threats to Privacy and Human Rights Growing, UN Report Warns.” OHCHR, 16 Sept. 2022,
www.ohchr.org/en/press-releases/2022/09/spyware-and-surveillance-threats-privacy-and-human-rights-growing-un-report. Accessed 10
Jan. 2024.
WalkMe Team. “Addressing Privacy Concerns with AI: Strategies and Solutions.” WalkMe Blog, 28 Dec. 2023,
www.walkme.com/blog/privacy-concerns-with-ai/. Accessed 11 Jan. 2024.
WHO. “WHO Outlines Considerations for Regulation of Artificial Intelligence for Health.” Www.who.int, 19 Oct. 2023,
www.who.int/news/item/19-10-2023-who-outlines-considerations-for-regulation-of-artificial-intelligence-for-health. Accessed 11 Jan.
2024.
Yaqoob, Tayyub. “Ethical Considerations in AI Development and Deployment.” Cointelegraph, 18 Apr. 2023,
https://cointelegraph.com/explained/ethical-considerations-in-ai-development-and-deployment. Accessed 10 Jan. 2024.