Maximizing Data Privacy for Organizations in the Generative AI Era
Debbie Reynolds
The Data Diva | Data Privacy & Emerging Technologies Advisor | Technologist | Keynote Speaker | Helping Companies Make Data Privacy and Business Advantage | Advisor | Futurist | #1 Data Privacy Podcast Host | Polymath
Welcome to "The Data Privacy Advantage Newsletter" which will be a monthly resource hub of practical information, advice, and content that will help organizations make Data Privacy a business advantage.
Maximizing Data Privacy for Organizations in the Generative AI Era
The recent release of groundbreaking Generative AI models like Dall-E and ChatGPT has created significant attention from the media and the public. However, it's important to consider these technologies' potential Data Privacy implications. Organizations using Generative AI must be aware of three main areas of concern: unauthorized access and data breaches, AI transparency and derivative works.
What is Generative AI?
Generative AI is artificial intelligence that uses algorithms to generate new content based on data from various sources. These AI models can create images, like Dall-E, or text, like ChatGPT, by using large amounts of data and computing power. While there are many different Generative AI models, Dall-E and ChatGPT have gained particularly widespread attention.
Unauthorized Access and Data Breaches
Generative AI models are trained on large volumes of data, including images and text from the Internet or provided to the creators of the AI model. However, there is a risk that some of this data may not have proper consent for use. For example, I recently created a Generative AI and Data Privacy video about a woman who discovered that an image of herself, which she had only given consent to be used in a medical study, had been included in a publicly available Generative AI data set. This could have occurred due to poor security of a cloud data source or the image could have been provided to the AI model's creators without proper proof of legal consent. The use of data without proper consent, particularly sensitive data, could be evidence of unauthorized access or a data breach. Organizations handling sensitive data or images should review their data protection methods to ensure that this information is not made public in Generative AI data sets.
Transparency of AI Algorithms
There has been much discussion about the importance of transparency in AI and how these systems work. In some areas, such as the EU and the UK with the Algorithmic Transparency Standard, there are efforts to pass laws and establish standards for AI transparency. Generative AI will be no exception. Regulators are particularly concerned about AI that may cause harm to humans, such as reinforcing bias, spreading misinformation, or resulting in negative outcomes based on the generated information. As organizations begin using Generative AI, it's crucial to assess the potential negative impacts on humans and be transparent about how the technology is used.
Derivative Works
Derivative works are the resulting "work product" created from data inputs to digital systems. When using Generative AI, some people may voluntarily submit images or text to AI models to receive a new image or revised text based on the model's calculations. However, these users may not realize they are giving away the rights to use their text and images to the Generative AI product company. While this may be acceptable to some people, it's important to understand that providing text and images to AI models means that the organization may use this data in any way they choose at any time in the future. Organizations should consider the potential risks of adding images and text to Generative AI systems if they want to retain control over their intellectual property.
Generative AI has the potential to create new and exciting content, but organizations need to be aware of the Data Privacy implications. Careful consideration of unauthorized access and data breaches, AI transparency, and derivative works can help ensure that the privacy of users and customers is protected as these technologies are adopted and that organizations can make Data Privacy a Business Advantage.
The Pact Data Privacy Trust Framework
Debbie Reynolds, "The Data Diva," launched the PACT Data Privacy Trust Framework & Scorecard. This Framework can evaluate regulatory and business risk and the Trust of individuals around Data Privacy. This is a gut-check for organizations of all sizes to rate and triage their Data Privacy challenges. This Framework addresses Purpose, Alignment, Context, and Transparency. Watch this video to learn the basics as Debbie Reynolds explains the PACT Data Privacy Trust Framework & Scorecard in 6 minutes.
Download our four-page PACT Framework Document here
Visit our website to learn more about the PACT Data Privacy Trust Framework & Scorecard.
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Watch a three-minute video short of our podcast of The Data Diva E113 - David Heinemeier Hansson, Co-owner & Chief Technology Officer of 37signals (Makers of Basecamp + HEY). Here is a sneak preview of our January 2023 Podcast guests:
- Tuesday, January 3, 2023 - The Data Diva E113 - David Heinemeier Hansson, Co-owner & Chief Technology Officer of 37signals (Makers of Basecamp + HEY)
- Tuesday, January 10, 2023- The Data Diva E114 - Alexandra Ross, Senior Director, Senior Data Protection, Use, and Ethics Counsel, Autodesk
- Tuesday, January 17, 2023 - The Data Diva E115 - Bill Pugh, Smart Connections Consulting LLC, Strategy & Technology advisory in digital transformation in IoT, Smart City, Smart Grid, and digital twin technology.
- Tuesday, January 24, 2023 - The Data Diva E116 - Jennifer Hamilton, General Counsel, Exterro
- Tuesday, January 31, 2023 - The Data Diva E117 - Brendan Sullivan, CEO at Sullivan Strickler LLC
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Many thanks to our Podcast sponsor Safeguard Privacy for offering a "Data Diva" exclusive offer! Get 15% off the first year of Safeguard Privacy compliance software using the code: DATADIVA15%
Congratulations to our September Podcast Guest, The Data Diva E97 - Prashant Mahajan, Co-Founder & CTO, Privado, for Privado's recently announced raising of $17.5M funding led by Insight Partners, Sequoia India, Emergent Ventures, and Together Fund. The Data Diva is a proud supporter of Privado, and I am thrilled to see its continued success. Privado bridges the gap between Privacy and Engineering by giving Privacy teams real-time visibility into engineering systems. Privado helps protect privacy by detecting privacy issues before the software changes or new products are shipped.
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Need a Privacy-Friendly Internet Browser extension?
Data Diva Podcast alumni guest for episode 28, Kelly Finnerty, Director of Brand and Content at Startpage, has a special offer! If you are looking for more control over your Data Privacy and less behavioral tracking while surfing the Internet, look no further.
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Relyance AI helps organizations manage all privacy operations on a single, intuitive platform. Relyance AI uses advanced machine learning technology to automatically generate an always-live Data Map and Inventory, Universal Records of Processing Activity, manage your organization’s Data Subject Requests and Data Protection Assessments, and more. Visit www.Relyance.AI. That’s Relyance AI: Privacy. It’s in the Code.
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Many thanks to the press organizations and reporters who seek my commentary on important events around Data Privacy. Also, here are links to some of my other media collaborations:
Here is a collection of a few of my 2022 media mentions and collaborations:
- Many Thanks, Athabasca University, and PowerED, for featuring Debbie Reynolds "The Data Diva" in their Artificial Intelligence Ethics Micro-Credential courses.
- Debbie Reynolds, “The Data Diva” Data Privacy Expert and Technologist was honored to be one of the featured 31 days of privacy pros in 2022 by Hellen Beveridge of Cognizant.
- Debbie Reynolds, “The Data Diva” Data Privacy Expert and Technologist speaks in this 30-minute fireside chat event replay of “What You Need to Know About Biometrics and Privacy.” with Debbie Reynolds “The Data Diva” and Peter Counter, Editor in Chief, FindBiometrics. This session appeared as part of the Find Biometrics event called: The Enterprise Biometrics Virtual Identity Summit
- Many thanks to Law.com LegalTechNews and Isha Marathe for quoting Debbie Reynolds “The Data Diva” in an article called ”FTX Dealings Allegedly Took Place on Encrypted App Signal—Are They Gone Forever?”
- Debbie Reynolds, “The Data Diva” Data Privacy Expert and Technologist was a featured speaker on the Bixpand LinkedIn Live session about Data Privacy and marketing.
- Many thanks to the XRSI Safety Initiative for sponsoring Metaverse Safety Week with a session called, Regulating the Metaverse: How to govern the virtual with Anne Hobson, Policy Manager-Meta; Debbie Reynolds, XRSI - XR Safety Initiative Advisor | CEO and Chief Data Privacy Officer Debbie Reynolds Consulting, LLC ; & Genevieve Mak, Product Management Director www.magicleap.com.
- Debbie Reynolds, “The Data Diva” Data Privacy Expert and Technologist spoke on "The Global Cybersecurity Crisis" with Tech Founder and U.S. LinkedIn Accelerator Program Technology & Innovation Alumni Flo Nicolas.
For a full list of media mentions, please see our website media mention section.
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Events
Please join Debbie Reynolds “The Data Diva” on January 18-19, 2023, from 11:00 am to 5:00 pm ET each day for an open-to-the-public virtual meeting of the 16-member Internet of Things Advisory Board (IoTAB) appointed by the U.S. Department of Commerce (USDOC) and The National Institute of Standards and Technology (NIST).
All meetings of the IoTAB will be open to the public. A registration page is available for the January meeting sessions (see the link below). An agenda will be provided once it has been finalized; the overall scope of the agenda will be approximately:
?? Board Introductions and Member Activities
?? Overview of the charter, scope and expectations
??Overview of legislation creating the IoT Advisory Board
??Framework proposals for recommendations report
??Advisory Board member statements on challenges and barriers to IoT technology adoption
??Discussion of topics raised in member statements
??Outside speakers on challenges and barriers to IoT adoption
??Public Comment
??Board Discussion on Recommendations.
To register to attend the virtual event on one or both days via Webex register here: https://lnkd.in/gJUD94A8
To email public comments for consideration by the IoTAB, please email Barbera Cuthill, The IoT Advisory Board Secretariat prior to the meeting by Thursday, January 12, 2023, by 5:00 pm Eastern time at [email protected]
- Individuals who submit comments may have an opportunity (on a first-come, first-served basis) to present and discuss them at the meeting during the afternoon of the January 19th meeting session (presenters will be limited to 5 minutes each). The public is also invited to send written statements for the board’s consideration at any time; however, such statements will not be presented at the meeting. More information regarding comments and written statements is published in the Federal Register Notice.
- Want to know where "The Data Diva" is speaking next? Please see our Events page for upcoming speaking engagements.
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Data Governance | Compliance | Government Contracting
1 年Debbie Reynolds This is an excellent topic! Thank for sharing! I look forward to tuning in. Happy New Year! -G4
Debbie Reynolds, let's do a Privacy, Cybersecurity session together for old times sake :) Also please post your comments if you have a minute on my Trusted AI newsletter, adding link to latest post - https://www.dhirubhai.net/pulse/delivering-high-impact-ai-promise-trust-pamela-gupta
Beta-tester at Parrot Security* Polymath*
1 年Thanks Debbie best wishes 2023 Debbie Reynolds
Data Privacy and Technology Attorney | Licensed in CT, MD, & NY | ForHumanity Fellow of Ethics and Privacy | AI Consultant | Change Agent | ?? Disruptor ??
1 年#ethicalAI #privacy #bossware #consumerrights Debbie Reynolds you nailed it here, again! Thank you! ??
Analyste d'Affaire en IA ? AI hobbyist ethicist - ISO42001 ? Polymathe ? éditorialiste & Veille stratégique - Times of AI ? Techno-optimiste ?
1 年Muse? Grenoble ???? ????