TY - CHAP
T1 - Human Centered AI for Financial Decisions
AU - Khrennikova, Polina
PY - 2024
Y1 - 2024
N2 - We survey the state of the art of AI applications to financial expectations and the role quantum logic can play in further advancements of AI technologies. We discuss financial applications of such machine learning techniques as reinforcement learning and deep neural networks to the analysis of financial statements, algorithmic trading, portfolio management, and robo-advising. Next, we elaborate on the emergence and advancement of QML (quantum machine learning) and advocate for the wider exploration of the advantages of quantum inspired neural networks, steaming from the use of quantum logic that is able to capture agents’ non- classical expectations and non expected utility decisions, also coined “bounded rationality”. We would like to motivate to use human—like AI techniques that are centered on quantum, rather than classical logic to (i) represent the human brain type information processing; (ii) speed up the work of the AI algorithms; (iii) better operate in complex and uncertain environments.
AB - We survey the state of the art of AI applications to financial expectations and the role quantum logic can play in further advancements of AI technologies. We discuss financial applications of such machine learning techniques as reinforcement learning and deep neural networks to the analysis of financial statements, algorithmic trading, portfolio management, and robo-advising. Next, we elaborate on the emergence and advancement of QML (quantum machine learning) and advocate for the wider exploration of the advantages of quantum inspired neural networks, steaming from the use of quantum logic that is able to capture agents’ non- classical expectations and non expected utility decisions, also coined “bounded rationality”. We would like to motivate to use human—like AI techniques that are centered on quantum, rather than classical logic to (i) represent the human brain type information processing; (ii) speed up the work of the AI algorithms; (iii) better operate in complex and uncertain environments.
KW - 2024 OA procedure
UR - http://www.scopus.com/inward/record.url?scp=85210183525&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-67770-0_7
DO - 10.1007/978-3-031-67770-0_7
M3 - Chapter
SN - 9783031677694
T3 - Studies in Systems, Decision and Control
SP - 79
EP - 88
BT - Studies in Systems, Decision and Control
ER -