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We're committed to promoting research and education to enable data to serve people and society.

Defining Demonstrable Accountability

In 2025 and beyond

As the new wave of artificial intelligence integrates the digital, physical, and biological spheres together, this will make tremendous impact in data-driven research, including health and medical device research. Public policy, proposed laws and regulatory approaches articulate more explicit and demonstrable accountability processes for artificial intelligence (AI).

 

There is no common standard as to what these new demonstrable processes should consist of. This void includes how DPA’s and other assessment requirements should be structured. This lack of common expectations regarding standards of practice creates uncertainty for businesses wishing to grow their use of data. 

 

For research to benefit patient and societal interests, trust-enhancing frameworks should be developed for a purely digital research environment.

The earth viewed from space, with data being transferred across countries and cont

Global Flows of Data and Extending Demonstrable Accountability

The leading global data protection issue for the past three decades has been personal data transfer governance. The most basic business processes require data to flow, and regulators, legislators and courts have struggled to figure out how data might be protected over distance and time.

 

The issues encompass the potential for private sector misuse of personal data, plus concerns about national security agencies demanding personal data held by the private sector. The EU-U.S. Data Protection Framework and possible interoperability with the Global Cross-Border Privacy Rules project prompts the need to overlay the fundamentals of accountability.

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Legitimate Interests for an AI  World

This project's solution set will include a better understanding of the challenges business face, further exploration of regulatory expectations. This will serve as input to the development of a normative framework consisting of process and procedures though a multi-stakeholder engagement model.

Legitimate Interests for an AI  World

This project's solution set will include a better understanding of the challenges business face, further exploration of regulatory expectations. This will serve as input to the development of a normative framework consisting of process and procedures though a multi-stakeholder engagement model.

Firefly computer brain 22849.jpg

Applied Regulation Applied to New Legislation

The IAF has drafted model fair processing legislation to inform legislative processes in the United States and other jurisdictions intent on drafting legislation in response to risks to people from the accelerated use of observational data, advanced analytics, model development, and AI.

 

The last big change in computer and communication technology was captured in the third phase of privacy legislation best exemplified by the GDPR. The fourth legislative phase of privacy legislation needs to meet the challenges of 2025 and beyond. IAF model legislation will help define the way policymakers think about policy choices. The IAF will continually refine the model so that it is fit for its educational purposes.

IAF Digital University

The IAF, working with partners, organizes seminars for policymakers and influencers on how legacy and new technologies work and how best practices may be applied to governance.

Defining Demonstrable Accountability
In 2025 and beyond

As the new wave of artificial intelligence integrates the digital, physical, and biological spheres together, this will make tremendous impact in data-driven research, including health and medical device research. Public policy, proposed laws and regulatory approaches articulate more explicit and demonstrable accountability processes for artificial intelligence (AI).

 

There is no common standard as to what these new demonstrable processes should consist of. This void includes how DPA’s and other assessment requirements should be structured. This lack of common expectations regarding standards of practice creates uncertainty for businesses wishing to grow their use of data. 

 

For research to benefit patient and societal interests, trust-enhancing frameworks should be developed for a purely digital research environment.

Education Initiatives

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Workshops and Seminars at Industry and Policy Events

The IAF collaborates with a wide range of stakeholders to organize and deliver content to conferences and policy fora for the global community interested in strategic governance so that data may serve people.

The IAF has drafted model fair processing legislation to inform legislative processes in the United States and other jurisdictions intent on drafting legislation in response to risks to people from the accelerated use of observational data, advanced analytics, model development, and AI.

 

The last big change in computer and communication technology was captured in the third phase of privacy legislation best exemplified by the GDPR. The fourth legislative phase of privacy legislation needs to meet the challenges of 2025 and beyond. IAF model legislation will help define the way policymakers think about policy choices. The IAF will continually refine the model so that it is fit for its educational purposes.

IAF Digital University

The IAF, working with partners, organizes seminars for policymakers and influencers on how legacy and new technologies work and how best practices may be applied to governance.

 

The IAF also conducts specialized seminars for data protection authorities and policy developers, at Maastricht University in Brussels, the Data Protection Commission in Dublin Ireland, and with Canadian and U.S. officials.

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The IAF also conducts specialized seminars for data protection authorities and policy developers, at Maastricht University in Brussels, the Data Protection Commission in Dublin Ireland, and with Canadian and U.S. officials.

Global Privacy Assembly

The IAF Chief Policy Officer is a member of the GPA Programme Advisory Committee for the 2023 annual conference in Bermuda. IAF executives have served on the committee on previous conferences in Hong Kong, Morocco, Mauritius, Poland, Mexico, United Kingdom, and Australia.

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Firefly a global assembly at a conference on privacy 22849.jpg

Global Privacy Assembly

The IAF Chief Policy Officer is a member of the GPA Programme Advisory Committee for the 2023 annual conference in Bermuda. IAF executives have served on the committee on previous conferences in Hong Kong, Morocco, Mauritius, Poland, Mexico, United Kingdom, and Australia.

Image by Javier Miranda

Contributing to Global Organizations

The IAF is a member of the ‘experts’ group at the OECD which advises on new guidance for privacy accountability related to advanced analytics and AI. The IAF is an invited guest at the APEC Data Privacy Subgroup and the Global Cross Border Privacy Rules project.

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