What Do We Need To Understand About AI Ethics?

YOGYAKARTA - The rapid development of artificial intelligence (AI) technology has had a major impact in various sectors of life. Starting from the world of health, where AI helps accelerate the diagnosis process, to the communication and industrial sectors, where this technology allows social connectivity and work efficiency through automation of various tasks.

However, behind these myriads of benefits, AI also raises various ethical challenges. In the midst of the pace of innovation, concerns arise regarding AI's ability to cause bias, exacerbate social inequality, and even threaten human rights. These risks not only have an impact on individual scales, but also have the potential to harm groups of people who have been marginalized so far.

AI technology is radically changing the way humans work, interact, and live life, similar to the revolution that occurred when a printing machine was discovered six centuries ago. This change occurs at incredible speeds, so that without strong supervision and ethical principles, this technology can have a negative impact such as the reproduction of social discrimination, social fragmentation, as well as violations of human rights and basic freedoms.

AI ethics is a set of principles and guidelines designed to ensure that the development and use of artificial intelligence is carried out responsibly, safely, humanely, and environmentally friendly. These principles must be followed by all stakeholders, from technology developers, industry players, to governments and international institutions.

Citing Coursera, AI Ethics includes various things, including:

- Avoid bias and discrimination

- Protect the privacy and security of user data

- Minimizing the environmental impact of the AI system

Implementation of this ethics can be done through the company's internal code of ethics and a regulatory framework from the government. These two approaches play an important role in creating a fair and sustainable AI ecosystem, both at the national and global levels.

The issue of AI ethics was previously discussed in the realm of academics and non-profit organizations. However, now attention to the ethical aspect of AI also comes from major technology companies such as Google, Meta, and IBM, which have formed a special team to deal with various ethical issues surrounding data collection and use of algorithms.

Governments and international organizations have also begun to draw up public regulations and policies based on the results of cross-disciplinary research and discussions, as a form of responsibility in ensuring AI is not a tool that fertilizes injustice.

Salah satu referensi penting dalam pengembangan prinsip etika AI adalah Laporan Belmont, yang selama ini dijadikan acuan dalam penelitian experimental dan pengembangan teknologi, termasuk algorithm.

Referring to the IBM.com page, there are three main principles adapted from the Belmont Report:

This principle emphasizes the importance of respecting individual autonomy. In the context of technology, this means that users should be given a thorough understanding of the potential risks and benefits of the AI system used. They must also have the right to vote, including the right to reject or get out of the use of a system.

2. Benefits (Beneficience)

This principle stems from ethics in the medical world: "not dangerous." In the context of AI, this reminds developers not to create systems that strengthen racial, gender-related biases, political views, and so on even if they are done with good intentions.

3. Justice

This principle focuses on fair distribution of benefits and burdens in AI use. The Belmont report suggests five approaches to distributing AI benefits and risks, namely:

With the rapid development of AI, it is important for the public and the government to jointly ensure that this technology develops in a clear and strong ethical framework. Only then can AI really become a tool of progress, not a threat to human values.