By Marcela Lepore (10/2023)
Artificial Intelligence (AI) isn't a recent invention; it has been part of our lives for decades. We encounter it daily through our smartphones, in the algorithms that power social networks, predictive text, voice assistants, and GPS navigation systems. While it has made our lives more convenient, we might not have fully grasped its potential until now. The rapid evolution of AI has shown us that it can perform tasks we once thought were exclusive to humans, making some tasks easier but also revealing its inherent risks.
The benefits of AI appear boundless, as it is used by many companies for data analysis, virtual customer service assistants, algorithm manipulation to boost brands, and task automation alongside human teams. However, it also raises questions about potential job displacement, hidden biases, and the unforeseeable dangers of its implementation.
ChatGPT, along with its new version, GPT-4, possesses multiple functions that enable precise task execution and complex question answering. This prompts us to question the ethics of its use, as it relates to the erosion of trust and transparency in today's globalized business and news landscape. In light of these concerns, society must apply ethics to make decisions based on shared values and the common good.
Companies, in particular, bear a responsibility to engage in this discussion. AI technology offers them numerous benefits, but it also necessitates the establishment of ethical boundaries. They must foster critical thinking and demonstrate that they can provide more value than AI alone. To achieve this, professionals capable of reasoning and interpreting AI's impact are essential, allowing AI to be a tool that enhances our lives and work without manipulating us.
So, what are the ethics in AI? When considering the dilemmas we face, we must address some ethical challenges:
1. Lack of Transparency in AI Tools: AI decisions aren't always understandable to humans.
2. Non-Neutrality of AI: AI-based decisions may lead to inaccuracies, discriminatory outcomes, and embedded biases.
3. Surveillance Practices for Data Collection and User Privacy.
4. New Concerns Regarding Fairness and Risks to Human Rights and Fundamental Values.
As a first step, it is crucial to establish an ethical framework of moral principles and techniques aimed at guiding the development and responsible use of artificial intelligence technology.