Cogito Artificial Intelligent (AI) Software - An Ethics Case Study

AI ethics in voice interactions

Cogito software is an Artificial Intelligence (AI) system that provides call center agents with real-time feedback and conversational guidance to enhance customer experience. Backed by behavioural science, Cogito is unique because it gives human call center agents live suggestions from concepts such as their empathy levels and pace. It is a human-AI interaction software that has proven successful for call centers in the healthcare and finance industries. The Markkula Framework is used in analyzing the Cogito Software from an ethical perspective by applying Consequentialism, Deontology and Virtue Ethics theories. In this paper, I focus on the ethical perspectives of the Cogito software.

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[Video] Enterprise AI, Diversity, Trust, Ethics, Humans in AI with Beena Ammanath | Stories in AI

Beena Ammanath - Video

A great conversation and we touched upon many interesting topics from the state of the market with in AI, the spread of value creation with AI across multiple industries, what organizations that are leading the charge with AI and technology do to actually further their journeys in AI, and the best practices you can learn from them. We talked about ethics and trust with respect to AI. And we talked about expanding the human opportunity pool with technologies like AI. I had a fascinating time having a great conversation with Beena and I hope you enjoy it too.

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Do we need more women working in Data Science/AI?

Woman at workstation

This is a review of the Bucharest WiMLDS meetup from 2nd of March 2021, about challenges that AI brings and also social media responsibility. In the spotlight of the third Bucharest WiMLDS meetup were two inspiring ladies that presented topics such as AI and ethics and their ideas should be spread further.

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The future of commercial Deep Learning

How do we balance its benefits and integrity going forward? Underlying modern AI is deep learning, algorithms through which computers learn to perform intelligent tasks without being explicitly programmed. These algorithms train artificial neural networks, which iteratively learn relationships between inputs and outputs through copious examples. My solution to preserving the benefits of commercial deep learning while prioritizing its integrity is three-fold:

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