Data Scraping, Legal or Illegal? Use, Ethics, and Downstream Bias
Rachel has a unique background, having worked in many different facets of healthcare, securities, cybersecurity, as well as international law and business throughout her career. For over a decade, her practice has focused on transactional, compliance, and litigation matters related to cybersecurity, health care, securities, and Dodd-Frank/False Claims Act whistleblower claims.
2 hour CLE
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Program Summary
Data scraping, which may be legal or illegal, is the process of utilizing software to extract swaths of valuable data, usually from a website or across multiple websites. In turn, this data is utilized often times without the knowledge or consent of individuals. The purpose of this webinar is to gain an understanding of data scraping, how the data is utilized downstream, as well as legal and ethical pitfalls to avoid.
Attendees will gain a nuanced understanding of the ethical challenges posed by bias in data scraping and AI algorithms, as well as the interplay between ethical standards and the Computer Fraud Waste and Abuse Act. Through expert-led discussions and analysis, attorneys will emerge equipped with the knowledge and strategies needed to navigate these complex ethical landscapes effectively.
Key topics to be discussed:
- Appreciate what data scraping is and the line between legal and illegal application
- Learn how data scraping is utilized in algorithms, which can render bias in generative AI
- Understand how different laws, including the Computer Fraud and Abuse Act, and government enforcement can be triggered
This course is co-sponsored with myLawCLE.
Closed-captioning available
Speakers
Rachel V. Rose, JD, MBA (Houston, Texas)
Rachel has a unique background, having worked in many different facets of healthcare, securities, cybersecurity, as well as international law and business throughout her career. For over a decade, her practice has focused on transactional, compliance, and litigation matters related to cybersecurity, health care, securities, and Dodd-Frank/False Claims Act whistleblower claims. She has conducted HIPAA Risk Analyses for a variety of domestic and international organizations and represented persons related to government enforcement inquiries and responses on cybersecurity and healthcare related matters. Ms. Rose worked on Capitol Hill when HIPAA passed in 1996 and worked at HHS in 2009 when the HITECH Act was being implemented.
In addition to being extensively published, a sought-after presenter, and quoted expert, Ms. Rose holds an MBA with minors in healthcare and entrepreneurship from Vanderbilt University, a law degree from Stetson University College of Law, and an Executive Certification in Leadership and Negotiation from Harvard Law School. She is also the co-editor of the American Health Lawyers Association’s Enterprise Risk Management Handbook for Healthcare Entities (2nd Edition), as well as a co-author of the ABA’s books The ABCs of ACOs and What Are International HIPAA Considerations?, as well as various chapters in legal and medical books alike.
She has been named consecutively to the Texas Bar College, the National Women Trial Lawyers Association’s Top 25, Houstonia Magazine’s Top Lawyers (healthcare), the National Trial Lawyers Association’s Top 100, SuperLawyers (healthcare), as well as 1st Healthcare Compliance’s 2019 and 2022 Top Presenter. Ms. Rose is also an Affiliated Member with the Baylor College of Medicine’s Center for Medical Ethics and Health Policy, where she teaches bioethics.
Agenda
I. Noteworthy news | 11:00am – 11:20am
II. Data scraping the legal versus the illegal | 11:20am – 11:40am
III. Monetizing data and AI | 11:40am – 12:00pm
Break | 12:00pm – 12:10pm
IV. Bias – ethical and legal implications of data scraping | 12:10pm – 12:15pm
V. AI and bias | 12:15pm – 12:30pm
VI. Government agency initiatives | 12:30pm – 12:45pm
VII. Computer Fraud Waste and Abuse Act and the interplay with data scraping and AI | 12:45pm – 1:10pm
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