AI News, Artificial Intelligence (AI) Health Outcomes Challenge

The Ethics of Artificial Intelligence and Healthcare

  Artificial intelligence (AI) systems have the potential to dramatically improve health outcomes for patients by analyzing enormous amounts of data, identifying patterns and predicting results.

To succeed, though, these systems need access to personal and group health data and use complex algorithms that are difficult, and sometimes impossible, to understand.

This creates a potential conflict with current ethical standards for the treatment of patients, which emphasize fairness, consent, and privacy.

In this workshop, we bring leading AI scientists, philosophers, and bioethicists in this area together to examine these issues and to explore the future directions of this research.

Matthew Liao, Director of the Center for Bioethics at NYU 9:20AM - 10:10AM: Discussion with Francesca Rossi, AI Ethics Global Leader, IBM Research 10:10AM - 11:00AM: 'Just Machine Learning' with Tina Eliassi-Rad, Associate Professor of Computer Science, Northeastern University 11:00AM - 11:20AM: Break 11:20AM - 12:10PM: 'Ambient Intelligence in AI-Assisted Healthcare Spaces' with Serena Yeung, Postdoctoral Fellow, Harvard University 12:10PM - 1:00PM: 'Accountability in the Use of AI in Medicine: Verifiability in Diagnosis and in Intervention' with Alex John London, Director of the Center for Ethics and Privacy, Carnegie Mellon University 1:00pm - 2:30PM: Break for lunch 2:30PM - 3:20PM: 'Should Moral AI Help Us Decide Who Gets a Kidney?' with Walter Sinnott-Armstrong, Chauncey Stillman Professor of Practical Ethics, Duke University 3:20PM - 4:10PM: 'Legal and Ethical Issues Raised in the Construction and Use of AI/ML in Health Care' with I.

CMS offers $1.65 million in AI Health Outcomes Challenge

office and a member of the firm’s Health Care Group, where she provides strategic advice to clients navigating the legal and regulatory environments related to technology in the health care sector. Jodi is the former director of the Office of Policy in the Office of the National Coordinator for Health Information Technology (ONC), U.S. Department of Health and Human Services (HHS).

She served for a decade as the director at the ONC and 15 years at HHS, where she helped spearhead important changes in health information privacy and health information technology to improve health care for consumers nationwide.

She founded and chaired the health information technology practice group within OGC and worked closely with the Centers for Medicare and Medicaid Services in the development of the e-prescribing standards regulations and the Stark and anti-kickback rules regarding e-prescribing and electronic health records.

CMS Artificial Intelligence Challenge

AI has been part of computer sciences for over 50 years and is used by multiple industries.

Combining the world of machine learning and healthcare is a relatively new concept but one ripe for exploration.

There are mountains of health data and science however we still rely on people to review this data to provide treatment decisions.

This is a competition consisting of three stages, the applications process, round 1 and round 2.

Applications opened on March 27, 2019, each applicant is asked to complete an online application and provide a slide deck outlining who they are and their proposed solutions.

CMS will choose twenty participants to create and test their proposal with provided Medicare claims data.

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