PhD on Auditing responsibility and accountability of AI Software Systems (0.8 - 1.0 FTE)
Jheronimus Academy of Data Science (JADS) Den Bosch, is proud to start with three large Robust AI labs together with:
- Deloitte (Auditing for Responsible AI Software Systems) - 5 PhD's
- DPG Media (Responsible Media Lab) - 5 PhD's together with University of Amsterdam (UvA)
- ILUSTRE (Innovation Lab for Utilities on Sustainable Technology and Renewable Energy) - 5 PhD's
JADS is seeking enthusiastic colleagues for the position of PhD students. We operationalize the huge ambition around AI by explicitly aligning our research agenda on Robust AI with the United Nation's sustainable development goals.
The project is funded in a public-private partnership by NWO/NLAIC and the private partners. This position is part of the Deloitte project.Short Description
The next generation of enterprise applications is quickly becoming AI-enabled, providing novel functionalities with unprecedented levels of automation and intelligence. As we recover, reopen, and rebuild, it is time to rethink the importance of trust. At no time has it been more tested or valued in leaders and each other. Trust is the basis for connection. Trust is all-encompassing: physical, emotional, digital, financial, and ethical. A nice-to-have is now a must-have; a principle is now a catalyst; a value is now invaluable.
Are you an enthusiastic and ambitious researcher with a completed master's degree in a field related to machine learning (Computer science, AI, Data Science) or in Electrical Engineering with an affinity for AI and deep learning? Does the idea of working on real-world problems and with industry partners excite you? Are you passionate about using trustworthy AI methods for the next generation of auditing processes, which are increasingly AI-enabled and data-driven? And are you interested in delivering new tools to ascertain the accountability of the next generation of AI software?
We are recruiting a PhD candidate who will develop and validate novel concepts, methods, and tools for monitoring, auditing, and fostering accountability of AI software systems and trial them with industrial partners who work with Deloitte.Job Description
This vacancy falls under the auspices of the JADE lab, which is the data/AI engineering and governance research UNIT of the JADS, and DELOITTE. In particular, this position is associated with JADE's ROBUST program on Auditing for Responsible AI Software System (SAFE-GUARD), which is financed under the NWO LTP funding scheme with Deloitte as the key industry partner.
Whilst the overall objective of SAFE-GUARD is auditing of AI software, it may be further refined in the following more elaborated goal: "Explore, develop and validate novel auditing theories, tools, and methodologies that will be able to monitor and audit whether AI applications adhere in terms of fairness (no bias), explainability, and transparency (easy to explain), robustness and reliability (delivering same results under various execution environments), respect of privacy (respecting GDPR), and safety and security (with no vulnerabilities)."
The industrial setting of the deep involvement of Deloitte will balance the rigor with relevance and ascertain fit with societal requirements and trends, validation with industrial case studies.Scientific Challenge
When we talk about responsible AI, one of the critical aspects is accountability, which is especially important in data protection, data destruction, and data/algorithm aggregations. As with all the products that need to be delivered, also AI software should be open to inspection and go under audit. This seems still an open challenge with a few proposals - e.g., https://tinyurl.com/4rhkbr7y
. For this reason, in this WP, our goal is to find and implement the best path strategies to assess responsible and accountable AI software systems. Applications may be found in ascertaining that systems are auditable and checkable against laws and regulations ranging from Sarbanes Oxley to environmental laws, behaving responsibly.