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The Ethical Dilemma of AI in Hiring: Bias or Necessity?

Plus Who is Craig Oshrin?

In this episode, Keith Bilous and Christopher Martin welcome Craig Oshirn for an insightful discussion.

They delve into Craig's work with Injamada, the concept of Andromeda Digital Objects, and meme coins in web 3 culture. The trio also explores Craig's content creation journey, AI's impact, and the ethical dilemma of AI in hiring.

The episode concludes with a creator spotlight segment featuring Lindsey Bell. Craig Oshirn, Injamada, Andromeda Digital Objects, meme coins, web 3 culture, content creation, AI impact, human connection in AI, AI in media, AI in hiring,

  • 0:00 Introduction and discussion about the week's events

  • 2:08 Introduction to the guest: Craig Oshirn, and discussion on his roles

  • 6:04 Craig Oshirn's work with Injamada and the concept of Andromeda Digital Objects

  • 9:14 Explanation of the concept of meme coins in web 3 culture

  • 14:00 Craig Oshirn's content creation journey and his YouTube channel, Craigo's Christopher Corner

  • 16:00 Accountability check-in and discussion on AI's impact

  • 20:33 Craig Oshirn's perspective on the human connection in AI

  • 25:21 AI generated newscast and discussion on the future of media

  • 32:16 Discussion on the ethical dilemma of AI in hiring

  • 41:41 Creator spotlight segment begins with Lindsey Bell

  • 56:03 Closing remarks, announcement of upcoming content and projects, and farewell

**AI is reshaping our world. Getting onboard is crucial to stay ahead.

Flexibility is key.

But we gotta be responsible, too.

Lemme tell you how Iโ€™m adapting to AI responsibly:

๐—˜๐—ฑ๐˜‚๐—ฐ๐—ฎ๐˜๐—ฒ ๐˜†๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐—น๐—ณ.

Learn about AI advancements. Commit to learning something new today.

๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป ๐—ฏ๐—ถ๐—ฎ๐˜€

AI can perpetuate biases. Research AI ethics and bias. Read case studies on AIโ€™s successes and failures.

๐—˜๐˜ƒ๐—ฎ๐—น๐˜‚๐—ฎ๐˜๐—ฒ ๐˜†๐—ผ๐˜‚๐—ฟ ๐˜๐—ผ๐—ผ๐—น๐˜€

Assess AI tools in hiring and other areas.

Get a basic understanding of algorithms and data sets. Make adjustments if needed.

๐—•๐—ฎ๐—น๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—ฒ๐—ณ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐˜† ๐—ฎ๐—ป๐—ฑ ๐—ฒ๐˜๐—ต๐—ถ๐—ฐ๐˜€.

Constantly reflect on balancing efficiency with ethics. If you have a team, set guidelines for ethical AI use.

New, disruptive tech is always gonna come.

๐—ง๐—ต๐—ฒ ๐—ฏ๐—ฒ๐˜€๐˜ ๐˜†๐—ผ๐˜‚ ๐—ฐ๐—ฎ๐—ป ๐—ฑ๐—ผ? ๐—ฆ๐˜๐—ฎ๐˜† ๐—ฎ๐—ฑ๐—ฎ๐—ฝ๐˜๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—ผ๐—ฝ๐—ฒ๐—ป ๐˜๐—ผ ๐—ฒ๐—บ๐—ฏ๐—ฟ๐—ฎ๐—ฐ๐—ถ๐—ป๐—ด ๐—ถ๐˜.

Because it's here to enhance humanity, not replace it.**

๐—ฃ๐—ฆ: Do you love or hate AI, or is a love-hate relationship? Let's discuss. ๐Ÿ‘‡

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Craig Oshrin

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Lindsey Bell

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Monroe Melvin

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