Busting the myth of ‘neutral’ AI | Ramesh Srinivasan | Big Think | Summary and Q&A

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March 13, 2020
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Big Think
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Busting the myth of ‘neutral’ AI | Ramesh Srinivasan | Big Think

TL;DR

Technology's biases stem from the unconscious biases of their creators, making it crucial for business leaders to be aware of and address these biases.

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Key Insights

  • 🎨 Technology amplifies biases as they are encoded into the design and operation of AI systems.
  • ❓ A significant shift has occurred with technology companies identifying as AI companies due to advancements in AI technology and data processing capabilities.
  • 😒 The lack of transparency regarding the use of algorithms and AI systems in everyday life is concerning and should be addressed.

Transcript

technology can really amplify biases because we create technologies based on who we are just like when we write a poem or write a book you know my new book Beyond the Valley it reflects my biases I'm willing to admit that and many of us like to think of ourselves as unbiased but that's part of being a human being is being biased that doesn't mean w... Read More

Questions & Answers

Q: How do biases translate into technology?

Just like in any form of creative expression, biases held by the creators of technology shape the way it operates and perceives the world, leading to biased outcomes and decisions.

Q: Why do technology companies now identify as AI companies?

The advancements in AI technology, such as faster machines and the ability to store and process massive amounts of data, have made artificial intelligence more tangible and prevalent in various industries.

Q: Why is transparency important regarding AI systems?

AI systems and algorithms are constantly interacting with people's lives, often without their knowledge. Lack of transparency regarding these systems leaves users unaware of the data being collected, the algorithms at work, and the potential impacts on their lives.

Q: Are there alternatives to current technology platforms?

The current public sentiment, bipartisan and across demographics, supports the need for change in big technology platforms. This presents an opportunity for alternative business models that prioritize diversity, inclusion, and transparency.

Summary & Key Takeaways

  • Technologies are created based on the biases of their creators, just like any form of artistic expression.

  • Many technology companies now identify as AI companies due to advancements in artificial intelligence and the ability to process large amounts of data.

  • The use of algorithms and AI systems in everyday life is often undisclosed to users, making transparency and understanding crucial.

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