• Disha Gupta
• Roshan Kundoor Menon

Jack and Jill went up the hill to fetch a pail of water, Jack fell down and broke his crown because Jill pushed him, you’d know Jill is legally liable for the tort of battery. It is easy to trace as to how the tort was committed and by whom. To change the scenario, let us say Jack and Jill went up the hill to fetch a pail of water from an automated well with deep learning involved within its AI system- and suddenly an iron bucket- instead of pouring water as expected, hits Jack and as a result he gets pushed, breaks his crown and this time Jill came tumbling after. Who is liable for this AI caused harm? Is the team who created the automated well or any one of them? Can they be held liable for this AI caused harm? If so, then how does one allocate responsibility here? This paper discusses the concept of traceability, importance and need of an explainable AI and how does the former help in allocating responsibility in AI caused harm.

Artificial Intelligence, traceability, legal liability, AI responsibility

"Traceability and Allocation of Responsibility in an AI caused harm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.a355-a362, December-2021, Available :http://www.jetir.org/papers/JETIR2112041.pdf

"Traceability and Allocation of Responsibility in an AI caused harm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppa355-a362, December-2021, Available at : http://www.jetir.org/papers/JETIR2112041.pdf