Reframe Vision: Rethinking Intelligence of AI

Authors

  • Varsha Smita Shetty Kamath Dept. of C.S., FCIT, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia Author

DOI:

https://doi.org/10.15680/IJCTECE.2020.0303001

Keywords:

Reframe Vision, Artificial Intelligence, Human-Centric Design, Ethical AI, Explainable AI, Responsible AI, Interdisciplinary Framework, AI Governance, Transparency, Privacy, Accountability, Societal Impact

Abstract

Rethinking Intelligence is an innovative framework that challenges conventional paradigms in artificial intelligence (AI) by integrating interdisciplinary insights and emphasizing human-centric design. This approach seeks to transcend traditional AI methodologies, which often prioritize technical performance over ethical considerations and societal impact. By reimagining intelligence through a multifaceted lens, Reframe Vision aims to foster AI systems that are not only efficient but also responsible, transparent, and aligned with human values.

The framework is built upon the premise that AI should be developed and deployed in a manner that is accountable, fair, and inclusive. It incorporates principles from various disciplines, including ethics, cognitive science, and social theory, to create a holistic understanding of intelligence. Reframe Vision advocates for the design of AI systems that are explainable, ensuring that their decision-making processes are transparent and understandable to users. Moreover, it emphasizes the importance of privacy and security, recognizing the need to protect individuals' data and maintain trust in AI technologies.

Through a comprehensive literature review and analysis of existing AI frameworks, Reframe Vision identifies gaps and proposes solutions to address challenges such as bias, lack of accountability, and limited adaptability. The methodology section outlines a structured approach for implementing the framework, detailing processes for stakeholder engagement, iterative development, and continuous evaluation. Case studies are presented to demonstrate the practical application of Reframe Vision in diverse contexts, highlighting its potential to transform AI practices across sectors.

In conclusion, Reframe Vision offers a paradigm shift in AI development, advocating for systems that are not only intelligent but also ethical and aligned with the broader goals of societal well-being. By rethinking intelligence, Reframe Vision contributes to the creation of AI technologies that serve humanity in a responsible and meaningful way.

References

1. Floridi, L., & Cowls, JA unified framework of five principles for AI in society. Harvard Data Science Review. https://doi.org/10.1162/99608f92.8cd550d1

2. Mittelstadt, B., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2). https://doi.org/10.1177/2053951716679679

3. Dignum, V. Responsible Artificial Intelligence: How to develop and use AI in a responsible way. Springer Nature.

4. IEEE Global Initiative. Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems.

5. Doshi-Velez, F., & Kim, B. Towards a rigorous science of interpretable machine learning. arXiv preprint arXiv:1702.08608.

6. Binns, Fairness in machine learning: Lessons from political philosophy. Proceedings of the 2018 Conference on Fairness, Accountability and Transparency.

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Published

2020-05-01

How to Cite

Reframe Vision: Rethinking Intelligence of AI. (2020). International Journal of Computer Technology and Electronics Communication, 3(3), 2450-2454. https://doi.org/10.15680/IJCTECE.2020.0303001