Artificial intelligence, big data, and the ethical problem: balancing responsibility with ingenuity

Abstract

Furthermore, depending more on algorithms for decision-making might lead to less accountability as the outcomes of AI-driven systems often lack total knowledge and openness. As artificial intelligence and big data shape our life and business more and more, we must balance responsibility with invention. Enlarging the benefits of these technologies & reducing their prospective drawbacks depends on each other. This means building systems that provide transparency in decision-making, stress fairness & privacy & the guard against discrimination. The debate on the ethics of big data and AI calls for legislative actions to ensure appropriate use of these tools, therefore emphasizing human welfare. Responsible innovation includes not just technical development but also the matching of such improvement with the rights and values of individuals and society. It is essential to face these ethical issues head-on as we develop the capacities of artificial intelligence and big data so that innovation is guided by values of fairness, openness, and responsibility. This helps us to create a technological scene that supports development and protects everyone's rights and freedoms.