Our Independence
in Action
We embrace a project-driven approach to driving meaningful change. By collaborating, we can safeguard the freedom to innovate with data, ensuring it isn’t hindered by well-meaning but misguided policies or by industry missteps that erode public trust and confidence in businesses and technologies.
The Information Accountability Foundation
Fearlessly Forward Thinking
Fearlessly
Forward
Thinking
The Information Accountability Foundation
A Framework to take us Forward
To be trusted, organizations must be responsible, answerable, and prepared to demonstrate their accountability. It's critical that accountable organizations are able to think with data and pursue knowledge discovery and creation in order to engage in a trusted global digital ecosystem.
Frameworks based on risk assessment and data governance enable beneficial, data-driven innovation while protecting individuals and society from the potential harms that may arise from data processing in the digital age.
The Way We Think
As the new wave of AI integrates the digital, physical, and biological spheres together, we will see a tremendous impact in data-driven 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 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.