Artificial Intelligence: A New Beginning or The End of Everything?

Artificial Intelligence: A New Beginning or The End of Everything?
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Industry background, recommendations, risks, and implementations related to artificial intelligence. Strategies for promoting AI while addressing concerns, targeting specific audiences, and establishing partnerships. Emphasis on transparency, ethical standards, education, and self-regulation to build trust and mitigate potential downsides of AI advancements.

  • Artificial Intelligence
  • Industry
  • Recommendations
  • Risks
  • Implementation

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  1. Artificial Intelligence: Artificial Intelligence: A New Beginning or A New Beginning or The End of Everything? The End of Everything? Prepared exclusively for: Prepared exclusively for: JF Gagne JF Gagne CEO, Element CEO, Element AI AI ALAN NAPIER | RYAN MCCARTY | JUSTIN BOSLEY | ASHLEY BRUNER JANUARY 7, 2020

  2. Agenda Industry Background Recommendations AI promotion while addressing concerns Risks of not addressing concerns Target audience Partners, natural and unnatural Implementation Target audience Partners Strategy

  3. Background Recommendation Risks & Mitigation Implementation Industry Background AI beginnings with much excitement AI Winter Media use of clich d images Doomsday scenarios Negative perceptions reinforced Significant improvements in modern AI

  4. Recommendation HOW COULD YOU LIVE WITHOUT YOUR IPHONE?

  5. Background Recommendation Risks & Mitigation Implementation How do we as a company and an industry promote the opportunities created by AI, yet address the perceived downsides? Self-regulation & Ethical standards Build trust Show that are in control of the software Health care New, large potential market segment

  6. Background Recommendation Risks & Mitigation Implementation How do we as a company and an industry promote the opportunities created by AI, yet address the perceived downsides? Transparency Media Be open to the public regarding any mishaps Guidelines as an Industry Work with other industries to develop set of standards

  7. Background Recommendation Risks & Mitigation Implementation How do we as a company and an industry promote the opportunities created by AI, yet address the perceived downsides? Education University Partnerships Educate the public via seminars Educate students on how to use AI

  8. Background Recommendation Risks & Mitigation Implementation How do we as a company and an industry promote the opportunities created by AI, yet address the perceived downsides? Industry Benefits Standards create looser guidelines that government Transparency creates a sense of safety and security Education creates a culture that is familiar with AI

  9. Background Recommendation Risks & Mitigation Implementation How do we as a company and an industry promote the opportunities created by AI, yet address the perceived downsides? Company Benefits Standards Shows good company morals Transparency Show how AI helps people everyday Education University partnerships build familiarity with AI Opportunity for job recruitment

  10. Risks & Mitigation WHEN WAS THE LAST TIME YOU TOOK A CLASS ON AI?

  11. Background Recommendation Risks & Mitigation Implementation Risks Stereotypes Lack of Trust Data Security Scares Job Loss/Hesitation Fear of the Unknown

  12. Background Recommendation Risks & Mitigation Implementation What is AI? What would we do with our technology? Health Care Major League Sports Business Security

  13. Background Recommendation Risks & Mitigation Implementation Jobs Job Losses Job Creation Opportunities

  14. Background Recommendation Risks & Mitigation Implementation Health Care Lifestyle Disease Prevention Waiting Lines NFL

  15. Background Recommendation Risks & Mitigation Implementation Data Security AI is still a relatively new industry Unexplored Places What could it do to help you

  16. Implementation TOMORROW S TECHNOLOGY BEGINS TODAY

  17. Background Recommendation Risks & Mitigation Implementation Implementation Forming an industry coalition Corporate social responsibility Self-regulation Encouraging transparency among clients University partnership in local areas Expansion into areas that most need AI Education Publishing self-regulatory guidelines Holding demonstrations with media Transparency

  18. Background Recommendation Risks & Mitigation Implementation Implementation Your Goals Make initial connections with local universities Begin conversations with other AI companies Tomorrow Work to form a coalition Create & publish company ethical standards Short-Term Publish coalition standards & involve national governments Move university partnership into developing/skeptical areas Long-Term

  19. Background Recommendation Risks & Mitigation Implementation Who do you think is our target audience? Highly innovative businesses Reputation as forward-thinking Willing to share AI practices Health care industry Technological advances celebrated & commonplace Dispel fears from older consumers Universities Tomorrow s business leaders are sitting in classrooms

  20. Background Recommendation Risks & Mitigation Implementation Who are our natural or unnatural partners in creating this change? Health care providers Professional services Educators

  21. Summary

  22. Summary AI s strong potential for societal good Industry commitment to ethical behavior Proper AI industry management promotes win-win situation

  23. Questions? THANK YOU

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