Results 101 to 110 of about 4,427 (216)

The Relationship Between Performance and Trust in AI in E-Finance. [PDF]

open access: yesFront Artif Intell, 2022
Maier T, Menold J, McComb C.
europepmc   +1 more source

Regulating Robo Advisors: Old Policy Goals, New Challenges [PDF]

open access: yes, 2017
Financial “robo advice”—an automated service that ranks or matches consumers to financial products—has gained significant attention in the investment industry and on the Hill, but there has not yet been a consensus on how to regulate these new services ...
Baker, Tom, Dellaert, Benedict
core   +1 more source

MiFID II will profoundly affect the portfolio management business. ECMI Commentary No. 47/24 January 2018 [PDF]

open access: yes, 2018
The first indications to emerge from the impact of MiFID II, following its implementation on 3 January 2018, suggest that … more time is needed. The breadth, complexity and detail of the issues covered in the revamped version of the Markets in Financial ...
Lannoo, Karel.
core  

Robo-advisor enablers and inhibitors: A dual-factor framework and a benefit-risk model integration for understanding customer acceptance

open access: yesSustainable Futures
In recent years, the rapid strides made by artificial intelligence (AI) in the financial services industry have not only reshaped its landscape but have also brought along disruptive innovations.
Sindhu Singh, Bhargavi Karamcheti
doaj   +1 more source

Regulating Robo Advisors in an Age of Generative Artificial Intelligence [PDF]

open access: yes
New generative Artificial Intelligence (AI) tools can increasingly engage in personalized, sustained and natural conversations with users. This technology has the capacity to reshape the financial services industry, making customized expert financial ...
Baker, Tom   +2 more
core   +6 more sources

The Machine Learning Robo Advisor

open access: yes, 2018
1956, MIT and Dartmouth Professors Minsky, Shannon and McCarthy invent Artificial ...
openaire   +1 more source

Applying the Analytical Hierarchy Process to Exploring Demand and Technology Preferences in InsurTech: Focusing on Consumer Concerns

open access: yesEngineering Proceedings
By employing the analytic hierarchy process (AHP), we investigated consumer demand and preferences for InsurTech technologies. A survey was conducted with 350 respondents, yielding 348 completed questionnaires and achieving a response rate of 99.4 ...
Mei-Su Chen, Yung-Cheng Liao
doaj   +1 more source

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