ออฟไลน์ด้วยแอป Player FM !
Real or fake? The buzz about synthetic data | Les données synthétiques : vraies ou fausses?
Manage episode 336532625 series 3375253
Dr. Khaled El Emam is a Canada Research Chair in Medical Artificial Intelligence and a professor in the University of Ottawa’s Faculty of Medicine. He is a co-founder of Replica Analytics.
- Developing privacy enhancing technologies to enable access to health data to support research [3:46]
- What is synthetic data? [5:36]
- Anonymous versions of real clinical data sets [8:36]
- Testing synthetic data to determine privacy risks [9:02]
- Examples of real world use cases in Canada [10:06]
- Re-identification attacks and loss of trust in traditional methods [12:31]
- Comparing statistical properties of synthetic data to the real thing [14:15]
- Is synthetic data really just like the real thing? [14:21]
- How synthetic data is made using artificial intelligence technologies [15:05]
- Use of synthetic data for research is expected to accelerate, increasing the need for practical regulatory guidance [16:47]
- Reducing uncertainty to fuel innovation [19:30]
- The need for clear rules around consent and thresholds for identifiable versus unidentifiable data [23:13]
Resources:
- The Fourth Industrial Revolution: What it means, how to respond (article by Klaus Schwab)
- Even better than the real thing: Simulated, anonymized data could be key to health-care innovations (University of Alberta research project)
- Top 10 strategic predictions for 2022 and beyond (Gartner)
- Trust in digital health: IPC strategic priorities 2021-2025 (IPC strategic plan)
- IPC Comments on the Ontario Government’s Consultation on Ontario’s Trustworthy Artificial Intelligence (AI) Framework (IPC Submission, June 2021)
- De-identification guidelines for structured data (IPC guidance)
Info Matters is a podcast about people, privacy, and access to information hosted by Patricia Kosseim, Information and Privacy Commissioner of Ontario. We dive into conversations with people from all walks of life and hear stories about the access and privacy issues that matter most to them.
If you enjoyed the podcast, leave us a rating or a review.
Have an access to information or privacy topic you want to learn more about? Interested in being a guest on the show? Send us a tweet @IPCinfoprivacy or email us at podcast@ipc.on.ca.
The information, opinions, and recommendations presented in this podcast are for general information only. It should not be relied upon as a substitute for legal advice. Unless specifically stated otherwise, the IPC does not endorse, approve, recommend, or certify any information, product, process, service, or organization presented or mentioned in this podcast, and information from this podcast should not be used or reproduced in any way to imply such approval or endorsement. None of the information, opinions and recommendations presented in this podcast bind the IPC’s Tribunal that may be called upon to independently investigate and decide upon an individual complaint or appeal based on the specific facts and unique circumstances of a given case.
39 ตอน
Manage episode 336532625 series 3375253
Dr. Khaled El Emam is a Canada Research Chair in Medical Artificial Intelligence and a professor in the University of Ottawa’s Faculty of Medicine. He is a co-founder of Replica Analytics.
- Developing privacy enhancing technologies to enable access to health data to support research [3:46]
- What is synthetic data? [5:36]
- Anonymous versions of real clinical data sets [8:36]
- Testing synthetic data to determine privacy risks [9:02]
- Examples of real world use cases in Canada [10:06]
- Re-identification attacks and loss of trust in traditional methods [12:31]
- Comparing statistical properties of synthetic data to the real thing [14:15]
- Is synthetic data really just like the real thing? [14:21]
- How synthetic data is made using artificial intelligence technologies [15:05]
- Use of synthetic data for research is expected to accelerate, increasing the need for practical regulatory guidance [16:47]
- Reducing uncertainty to fuel innovation [19:30]
- The need for clear rules around consent and thresholds for identifiable versus unidentifiable data [23:13]
Resources:
- The Fourth Industrial Revolution: What it means, how to respond (article by Klaus Schwab)
- Even better than the real thing: Simulated, anonymized data could be key to health-care innovations (University of Alberta research project)
- Top 10 strategic predictions for 2022 and beyond (Gartner)
- Trust in digital health: IPC strategic priorities 2021-2025 (IPC strategic plan)
- IPC Comments on the Ontario Government’s Consultation on Ontario’s Trustworthy Artificial Intelligence (AI) Framework (IPC Submission, June 2021)
- De-identification guidelines for structured data (IPC guidance)
Info Matters is a podcast about people, privacy, and access to information hosted by Patricia Kosseim, Information and Privacy Commissioner of Ontario. We dive into conversations with people from all walks of life and hear stories about the access and privacy issues that matter most to them.
If you enjoyed the podcast, leave us a rating or a review.
Have an access to information or privacy topic you want to learn more about? Interested in being a guest on the show? Send us a tweet @IPCinfoprivacy or email us at podcast@ipc.on.ca.
The information, opinions, and recommendations presented in this podcast are for general information only. It should not be relied upon as a substitute for legal advice. Unless specifically stated otherwise, the IPC does not endorse, approve, recommend, or certify any information, product, process, service, or organization presented or mentioned in this podcast, and information from this podcast should not be used or reproduced in any way to imply such approval or endorsement. None of the information, opinions and recommendations presented in this podcast bind the IPC’s Tribunal that may be called upon to independently investigate and decide upon an individual complaint or appeal based on the specific facts and unique circumstances of a given case.
39 ตอน
ทุกตอน
×ขอต้อนรับสู่ Player FM!
Player FM กำลังหาเว็บ