The Future of Human-Centric Artificial Intelligence: Towards Ethical Innovation across Sectors
Keywords:
Human Rights, Artificial Intelligence, Governance, RegulationsAbstract
Every facet of what it means to be human is impacted by Artificial Intelligence (AI). Being Artificial refers to something created or which is manufactured via humans as opposed to existing naturally. Whereas, Intelligence is the ability to absorb, apply knowledge or skills. AI algorithms can be implemented to analyze huge amounts of data in real time, thereby identifying patterns, anomalies, or potential threats that might evade traditional signature-based detection systems. AI's working scope becomes limited, generative, strong to reactive robots, with limited memory, theory of mind, or self-awareness, as per capability or functionality. With the vision of India’s Viksit Bharat by 2047, aspiration is Artificial Intelligence for all with inclusion, sustainability and resilience. As AI has potential to benefit or can affect human rights including freedom of speech & expression, thought, assembly, association, mobility, privacy and data protection, education, health, employment etc. This conclusion shall examine the intersection of AI’s development through law, which can promote human-centric innovation in diverse sectors. This shall be an attempt to highlight the ethical standards along legal protection guaranteed towards human rights. The European Union’s AI Act and Indian regulations shall address the questions on how innovation can be balanced in protective mechanisms, whose accountability can be finalized and how its human-centric principles, such as transparency and fairness, can be addressed altogether. The primary regulatory framework for digital platforms is the Information Technology Act of 2000. In the event that intermediaries fail to imitate data transmission, select recipient of the data, or modify it, Section 79 provides them legal immunity for unlawful third-party content. The Digital Personal Data Protection Act of 2023 ensures data security or looks at content authentication, which is the process of determining whether any information was created or altered by an AI system.
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