The Perils and Promises of Artificial Intelligence in Healthcare and Business


Date & Location
Wednesday, November 6, 2019, 8:00 AM - 6:00 PM, St. Louis, MO

Overview

The Bander Center for Medical Business is pleased to announce a rare and engaging conference that will share the most current research, analysis and debates about a topic that is nearly hidden from our lives, but certainly help define our civilization in the years ahead. This will be a unique gathering - thought-provoking, data rich, practical, and surprising. We will be focused on helping each other better understand a future that is evolving faster than we can imagine.

Please join us in St. Louis for Th Perils and Promises of Artificial Intelligence in Healthcare and Business, which will bring together extraordinary leaders in business, law, technology, and biotechs. This one-day conference is structured to offer dynamic discussions and meaningful human connections - helping all of us see our world with more discernment and perspective.



Objectives
  1. To demonstrate how artificial intelligence can be used to simplify and streamline information in the workplace.
  2. To consider ethical and social implications of the use of artificial intelligence in the day-to-day jobs of healthcare workers.
  3. To define what it means to use artificial intelligence to create value for a broad range of stakeholders, including researchers, care providers, patients, families, communities, and policymakers.
  4. To articulate the best approach to bring about precision medicine from an informatics and computer science perspective.
  5. To identify what opportunities exist for artificial intelligence and machine learning in the future of healthcare, especially with regards to pediatric oncology.
  6. To consider how non-technological challenges might impact or be problematic for the predominately technology-based future of healthcare
  7. Consider the potential adverse effects of the implementation of artificial intelligence in healthcare
  8. To look at the potential adverse effects in the “big picture” of artificial intelligence in healthcare in order to try to capture AI’s full benefits.
  9. To recognize how current healthcare data structures seem to be shaping the future use of artificial intelligence in healthcare.
  10. To recognize how current legal structures push the state of the science behind artificial intelligence towards places where data are easiest to gather and use, instead of those that will be most comprehensive.
  11. To define what it means to give professional advice, and how things change when various forms of technology are inserted into the process of professional advice-giving
  12. To recognize how technological innovation in medical advice-giving occurs in a densely regulated space
  13. To evaluate which new regulatory responses might be necessary in this context.
  14. To consider the lack of consensus when it comes to the use of artificial intelligence in healthcare.
  15. To illustrate how such imprecision can lead to legal and policy choices aimed at increasing AI-based innovation in healthcare being misguided.
  16. To analyze how the lack of a robust foundation of common sense in artificial intelligence makes it susceptible to unpredictable and unhuman like errors
  17. To consider how common sense comes about in human intelligence, and what the prospects for imbuing AI systems with such abilities are.
  18. To recognize what, in medical decision-making, is algorithmic and what is nonalgorithmic human judgment.
  19. To ask whether machines can make such non-algorithmic judgments.
  20. To discuss the implications of this discernment in medical decision-making.

Registration

More information and registration click Bander Center



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