Artificial Intelligence and Anti Corruption

Artificial intelligence (AI) for some time has been playing an increasingly vital role, in the public and private sectors, in analyzing and combating corruption and other financial crimes.  Because AI requires some understanding of data science concepts and terms, the course will provide students with a thorough grounding in those key terms and concepts, explain how artificial intelligence can be useful in various contexts (i.e., law enforcement, corporate compliance, and academic research), discuss applications of AI to corruption and related financial crimes, and explore the legal, ethical, and governance challenges of using anti-corruption AI.  The course will be taught by Professor Jonathan Rusch, an internationally recognized expert in anti-corruption law, and other experts in AI.

Policies and Processes

Refunds:

Learners will be eligible for a refund (minus any non-refundable fees) if they drop a course and request a refund no later than the day before the course starts as per the dates in Canvas and/or Canvas Catalog platforms. If a learner registered for a course after the start date, they will be ineligible for a refund.

Refund requests will be denied if requested on or after a course’s start date.

Payments and fees:

For payments with credit cards, debit cards or bank accounts, the tuition cost includes a non-refundable 4% administrative fee. In case an eligible refund is requested, the net funds returned will be the tuition minus 4%. 

Notice about these AUWCL Non-Credit Courses:

Non-credit courses are not recorded in American University transcripts. No credit is earned from these courses and grades are not posted. However, upon request, arrangements can be made to credit courses toward an LLM.  Learners enrolled in Non-Credit courses will not receive an AU ID but access to the AUWCL library will be available.

For Information about this course:

Please contact

anticorruption@wcl.american.edu or

Professor Jonathan Rusch at jrusch@wcl.american.edu