Responsible AI (RAI) – making AI more reliable and accountable

Need

AI has a humongous potential and positive change that it can bring to society is absolutely undeniable, However, alongside its vast potential there also lies a significant responsibility to ensure that AI is developed and deployed ethically and responsibly. Rapid development in various domains of AI also brings many threats and negative facets which urges a necessity to develop an appropriate compliance for it ethical and legal adoption in society

Use-cases

• numerous cases of deepfakes were reported in which AI are misused to create realistic-looking fake news articles or videos. It badly hurts individuality and results a deep impact on public opinion.

• AI systems often access to huge amounts of personal data and there are lot of cases reported against dilution of privacy and security of this data.

Impact of RAI

Responsible AI ensures data is collected ethically, used only for intended purposes, and protected from unauthorized access. RAI addresses the need for robust fact-checking mechanisms and user education to combat misinformation

RAI advocates for explainable AI models, allowing users to understand how decisions are made and fostering trust in AI systems. As per the Center for American Progress,

Conclusion

In today’s rapidly evolving world, responsible AI will play a critical role in shaping the future by prioritizing fairness, transparency, and human well-being. RAI can ensure that AI continues to be a force for positive change. Those responsible for developing and deploying AI systems should be held accountable for their impact on society.