The Startup with Ed Ludlow: Microsoft Sends AI Warning

The Startup with Ed Ludlow: Microsoft Sends AI Warning

Assessment

Interactive Video

Business, Information Technology (IT), Architecture

University

Hard

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The transcript discusses the potential misuse of generative AI tools in areas like election interference, highlighting concerns about AI falling into the wrong hands. Michael Schwartz emphasizes the need to focus on the dangers of AI misuse rather than job displacement. The integration of AI into Microsoft's security business is explored, showcasing its benefits in data analysis. The discussion also touches on the availability of AI tools to both good and bad actors, and the slow pace of regulation in technology. The need for regulation is debated, with a focus on regulating AI use rather than its development.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What concern does Michael Schwartz raise about generative AI tools?

They will replace human jobs.

They can be used for election interference.

They are too expensive to develop.

They are not effective in data analysis.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is Microsoft utilizing GPT technology in its business?

For creating new AI models.

For enhancing its security business.

For developing new software applications.

For reducing operational costs.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a major concern about the availability of AI tools like ChatGPT?

They are only available to large corporations.

They can be misused by malicious actors.

They require high computational power.

They are too complex for general use.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the current approach to AI regulation according to the transcript?

Non-existent and ignored.

Strict and comprehensive.

Reactive and after-the-fact.

Proactive and preventive.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What challenge is associated with regulating the training of AI models?

It is inexpensive and quick.

It requires minimal data input.

It is already heavily regulated.

It is human and capital intensive.