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Building ethical AI powered Automation Products

Building ethical AI-powered Automation Products

June 3, 2024

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Building ethical AI-powered Automation Products
#Blog   Published On June 03, 2024

Building ethical AI-powered Automation Products

The article "Building Ethical AI-Powered Automation Products" by Dr. Akhil Sahai emphasizes the critical need to address biases in AI models to prevent the perpetuation of human prejudices in AI-powered automation products.

 

It highlights how biases can enter AI models through various sources such as training data, data labeling, algorithmic design, and cognitive choices, leading to biased outputs. With the increasing reliance on generative AI models like large language models (LLMs), additional biases such as linguistic, group attribution, and automation biases are introduced, further complicating the ethical landscape of AI development.

 

 
 

Generative AI and Unstructured Document Processing 

Conclusion

Read the complete article from Fast Company to understand that the goal to develop AI-powered automation products is to enhance human capabilities and to act as an enabler without reinforcing existing societal biases.

 

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About the Author

Dr. Akhil Sahai
Chief Product Officer, Kanverse.ai

 

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