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The ethical and regulatory landscape of artificial intelligence

GlobalLogic’s Denys Balatsko maps the changing ethical and regulatory landscape of AI, highlighting steps so far and offering potential future scenarios as AI continues to evolve.

Artificial intelligence (AI) is at the forefront of the rapidly evolving world of technology, offering both unprecedented opportunities and enormous challenges. From personal assistants to autonomous vehicles, artificial intelligence systems are increasingly integrated into our everyday lives, and the ethical and regulatory implications of these technologies are leading to important debates. This article details the complex interconnections between AI development, ethics and regulation.


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Ethical imperatives of AI

The growing autonomy of artificial intelligence systems raises questions about accountability and responsibility.

Ethical considerations regarding artificial intelligence are as diverse as the applications of the technology. At the heart of these concerns is the question of how artificial intelligence affects human dignity, rights and freedoms. Take facial recognition technologies for example: while offering improvements in security and convenience, they also raise serious privacy concerns and could potentially be misused by governments or corporations.

Another ethical concern is the risk of algorithmic bias, where AI systems that reflect bias present in training data may perpetuate or even exacerbate discrimination against certain groups. This has profound implications for fairness and justice, particularly in sensitive areas such as the criminal justice system, employment practices or access to credit.

Moreover, the growing autonomy of AI systems raises questions about accountability and responsibility. In the event of a failure or decision resulting in harm, determining who – or what – is to be held liable would be quite complex and complicated – is it the programmers, the operators, the artificial intelligence system, or a combination of all these factors?

The role of regulations

As AI technology advances, the need for a robust regulatory framework increases. The primary purpose of this legislation would be to ensure that artificial intelligence is developed and deployed in a safe, ethical and human rights-compliant manner. However, developing effective legislation in this dynamically developing field is no small feat.

Regulations must strike a delicate balance. On the one hand, they should be stringent enough to prevent harm and abuse, while also taking into account issues such as privacy, security and liability. On the other hand, they must avoid stifling innovation and the potential benefits that artificial intelligence can bring to society. This requires a detailed understanding of the technology, its applications, as well as potential future developments.

Several countries and regions have taken steps in this direction. For example, the European Union is close to a final vote on its Artificial Intelligence Act, an ambitious regulatory framework that aims to address the risks associated with specific applications of AI, categorizing them according to their level of risk to society. Among other things, this bill will ban certain high-risk artificial intelligence systems, such as biometric categorization systems that use sensitive human characteristics (race, gender, political orientation, etc.), as well as social scoring systems and untargeted scrapping to create facial recognition databases.

Ethical development of artificial intelligence

Central to the discussion around AI ethics and regulation is the role of developers. The technology community has a responsibility to incorporate ethical considerations into the lifecycle of artificial intelligence systems, from design to implementation. This involves adopting principles such as transparency, accountability and honesty as guiding principles for the development of artificial intelligence.

AI transparency is about ensuring that the operation of AI systems is understandable to users and stakeholders, ensuring that decisions made by AI can be explained and justified. This is crucial to building trust and accountability in AI systems.

Accountability refers to the mechanisms in place to ensure that individuals and organizations can be accountable for the AI ​​systems they develop and deploy. This includes establishing clear guidelines for the ethical development of AI and mechanisms for redress when AI systems cause harm.

Fairness requires actively working to eliminate bias in AI systems and ensuring that these technologies do not perpetuate discrimination or inequality. This involves critically analyzing training datasets and algorithms to identify and reduce potential biases.

Waiting for something

The future of artificial intelligence holds enormous potential and offers solutions to some of the world’s most pressing challenges, from healthcare to climate change. However, harnessing this potential in a way that benefits society as a whole requires careful navigation of the ethical and regulatory landscape.

The entire spectrum of stakeholders, including policymakers, technologists and society, must engage in ongoing dialogue to shape the development of artificial intelligence in a way that is consistent with ethical principles and social values. Education and awareness are also crucial because a well-informed society can better defend its rights and interests in the age of artificial intelligence.

Furthermore, international cooperation will be crucial in addressing the global nature of artificial intelligence and its impacts. Harmonizing regulations across borders can help create a level playing field and ensure that AI serves the global good rather than exacerbating global inequalities.

In conclusion, we are at the threshold of a new era shaped by artificial intelligence, and the path forward is full of challenges. But by prioritizing ethical issues and establishing a strong regulatory framework, society can harness the power of artificial intelligence to create a future that respects human dignity and rights, fosters innovation, and uplifts all of humanity. The journey is complex, but with collective effort and commitment to shared values, it can lead to a bright and inclusive future.


Denys Balatsko is Senior Vice President of Engineering at GlobalLogic


Originally published in Connection, a magazine published by AmCham Slovakia.

(Source: AmCham)