Is AI too much for us to handle?

It is the question everyone is asking about AI- Can we handle it? Such a powerful tool requires us to be responsible in the ways we use it, and we are all wondering if we are up to the challenge.

In this episode of Merging Minds, Gabriel speaks with an expert on these questions. Harish Arunachalam is an expert on responsible AI development and is a Principal Data Scientist in Responsible AI at Verizon.

Harish and Gabriel discuss:

Applied machine learning for discovering tumors
Responsible vs. Irresponsible AI
Larger values to guide AI solutions
Explainability, transparency, privacy, fairness, accountability
Algorithmic fairness is easy, systemic fairness is hard
Losing humanity in the algorithm
Comparing humans to algorithms is apples to oranges
Quantifying human qualities
Avoiding hallucinations in AI
Emulating thought diversity in algorithms
The sweet spot between diversity and randomness in AI
Is there fairness in unpredictability?
Reliability vs. unpredictability
Company responsibility vs. user responsibility
Are humans responsible enough?
Safety vs. speed to market

and more!

Click play to hear a great conversation between Harish and Gabriel!

You can learn more about Harish here:   / harishbabuarunachalam  

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