Exploring the ethical issues of AI: are we on the right track?
Exploring the ethical issues of AI: are we on the right track?
  • Korea IT Times
  • 승인 2023.10.04 11:28
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By Nicolas Bouverot
Nicolas Bouverot, vice president of Thales in Asia.

In today's world, we are faced with questions that stretch the boundaries of the human imagination. Artificial intelligence, once the realm of science fiction, has become a prominent part of our lives. But with its rise, come ethical dilemmas that demand our attention and introspection.

As we stand at the precipice of AI's capabilities, we're haunted by a series of troubling questions: Could AI one day replace humans? Is there a chance it could turn on its creators? Could it pose a real threat to the human race? These questions have sparked an intense debate, fueled by both the media sensationalism and the mass deployment of generative AI tools.

The nature of AI:
Before getting caught in an ethical quagmire, it is imperative to understand the nature of AI. At its core, AI is a technology that promises to automate tasks, create new services, and increase economic efficiency. Generative AI is a milestone in this regard, and its applications are still unfolding. But it's important to remember that AI systems are fundamentally complex algorithms running inside processors, capable of ingesting massive amounts of data.

Beyond the Turing Test:
We've heard claims that AI will soon pass the Turing Test, which was once thought to distinguish humans from artificial intelligence. But the Turing test has lost its luster over time. These machines, no matter how advanced, lack the depth of human intelligence, adaptability, context sensitivity, reflexivity, and consciousness. The notion that AI will soon acquire these attributes seems more rooted in science fiction and mythology than in reality.

The ethical landscape:
Beyond the philosophical considerations, we face practical ethical issues that have been accelerated by the advent of AI tools such as ChatGPT. These issues have long preoccupied algorithm researchers, lawmakers, and businesses. Two key concerns emerge discrimination exacerbated by AI and the spread of misinformation, whether intentional or the result of AI "hallucinations." But it's encouraging to note that solutions are already underway.

Ethical principles are now being woven into the fabric of AI development. Guidelines are being established to ensure transparency and accountability, giving consumers and users insight into these systems. In addition, companies are making strides to minimize bias in their algorithms, particularly around gender and physical appearance, through data curation and diverse team composition.

The European Union (EU) has taken a proactive stance, working on a draft regulation to curb the most dangerous AI applications. Other regions, including Asia, are expected to follow suit and develop their own governance frameworks for AI. This growing commitment to the responsible use of AI underscores the importance that governments are placing on these issues.

Education and societal change:
But the fight against the misuse of AI isn't limited to regulations and technical solutions alone. It extends to education and societal change. We need to move away from the culture of immediacy that has become taken hold in the digital age, and which risks being exacerbated by the widespread adoption of AI tools.

Generative AI, for all its viral potential, introduces uncertainty into the reliability of content. It could exacerbate existing flaws in social media - the proliferation of questionable content, instant reactions, and confrontation. Moreover, it could foster intellectual complacency by providing "ready-made" answers without the need for critical questioning.

While the notion that AI poses an existential threat to humanity may seem premature, it's imperative that we heed the call to action. We must address the dangerous impulse for  instant gratification that has infiltrated our democracy and fueled conspiracy theories over the past two decades.

To build a healthier digital society, we must encourage contextualization, critical evaluation, and constructive dialogue. These principles should be central to global education systems, both in theory and practice. In this way, we can harness AI's the enormous potential of AI to advance science, medicine, productivity, and education, and ensure a better future for all.
 


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