Data bias in finance can have significant implications, including biased lending decisions, discriminatory pricing, or skewed investment strategies. Therefore, recognizing and mitigating data bias is essential to ensure fair and equitable outcomes in financial systems, requiring careful data collection, ...
such as ChatGPT,Dall-Eand Midjourney, and is increasingly applied in business settings. While many generative AI tools' capabilities are impressive, they also raise concerns around issues such as copyright, fair use and security that remain a matter of open ...
on personal property, not real estate. Asset pricing model A model for determining the required rate of return on an asset. Asset pricing model A model, such as the Capital Asset Pricing Model (CAPM), that determines the required rate of return on a particular asset. Asymmetric informat...
A contract made by a person of unsound mind can be rescinded when the parties can be restored to the status quo. This rule applies even if the opposite party was unaware of the mental condition, and the contract was fair, reasonable, and made in Good Faith for adequate consideration. When...
The end of democracy and the defeat of the American Revolution will occur when government falls into the hands of lending institutions and moneyed incorporations. —Thomas Jefferson 320 It does not matter how small you are if you have faith and a plan of action. —Fidel Castro ...
bias when dealing with international trades. The WTO doesnt tag any export as a dumping scheme, rather it focuses on how national governments react to supposed dumping schemes and use this to take action or mitigate what can be done and what must not be done. As a part of the World ...
Explainability, or the ability to understand how an AI system makes decisions, is a growing area of interest in AI research. Lack of explainability presents a potential stumbling block to using AI in industries with strictregulatory compliancerequirements. For example, fair lending laws require U.S...
Explainability, or the ability to understand how an AI system makes decisions, is a growing area of interest in AI research. Lack of explainability presents a potential stumbling block to using AI in industries with strictregulatory compliancerequirements. For example, fair lending laws require U.S...
Explainability, or the ability to understand how an AI system makes decisions, is a growing area of interest in AI research. Lack of explainability presents a potential stumbling block to using AI in industries with strictregulatory compliancerequirements. For example, fair lending laws require U.S...
Some ETF companies may offset tracking errors throughsecurity lending, which is the practice of lending out holdings in the ETF portfolio to hedge funds forshort selling. The lending fees collected from this practice can be used to lower tracking error if so desired. Currency Hedging International ...