Algorithms & Code

feasible

• Characteristic of an algorithm: for an algorithm to be effective, the procedure must be possible with the available resources and not contain any redundant unnecessary steps

• An algorithm that is too complex to be executed within a reasonable time frame

• A procedure that requires more resources than are available

• An algorithm that produces incorrect results due to logical errors

variables

• A component that permanently stores values in an algorithm.

• A component that temporarily stores values while the steps of the algorithm are being executed.

• A component that executes the algorithm line by line without changing values.

• A component that only stores values at the end of the algorithm.

Algorithms replacing human judgement

• An ethical dilemma: algorithms making decisions without human oversight

• Automated hiring systems screening candidates without human review

• Predictive policing algorithms directing law enforcement resources

• Automated customer service systems replacing human representatives

algorithmic bias

• An ethical dilemma where algorithms make decisions that systematically disadvantage certain groups of people

• A method to improve algorithm efficiency and accuracy

• A technique used to enhance data privacy in algorithms

• A process that ensures algorithms are fair and unbiased

natural language

• Ways of representing algorithms in a programming language.

• Algorithm steps described in everyday language. Allows developers to work with non-coders to write down the steps that the algorithm needs to follow.

• A formal method of writing algorithms using mathematical symbols.

• A type of programming language that is easy to learn.

Prioritizing Algorithms

• Email inbox algorithms highlighting important messages.

• Random number generation algorithms.

• Sorting algorithms for data organization.

• Notification systems prioritizing alerts based on urgency.

Black box algorithms:

• an ethical dilemma. An algorithm that provides insight without clarity on how the conclusions were reached from the data input

• a type of algorithm that is fully transparent and easy to understand

• algorithms that only work with structured data and require clear input

• a method for ensuring data privacy and security in machine learning

Transparency and accountability in algorithms:

• The ability to understand and explain the inner workings of the algorithm

• The use of algorithms to automate decision-making without oversight

• The implementation of algorithms to enhance user privacy

• The reliance on algorithms to eliminate human bias in decision-making

finite

• Characteristic of an algorithm: Algorithms must have a finite number of steps that end once they have been completed

• An algorithm can run indefinitely without a defined endpoint

• Algorithms are only effective if they have an infinite number of steps

• An algorithm's steps can be repeated infinitely without completion

searching algorithms

• -Google's search algorithm finding relevant web pages based on keywords.

• -Shazam's audio fingerprinting algorithm identifying songs from snippets.

• -Netflix's search algorithm finding content based on titles, actors, or genres

• -Amazon's recommendation algorithm suggesting products based on previous purchases.