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These flashcards cover key concepts and definitions from the lecture on AI Project Cycles and Ethical Frameworks, designed to aid in exam preparation.
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AI Project Cycle
A step-by-step process to solve problems using proven scientific methods.
Problem Scoping
The process of understanding and defining the problem that the AI project aims to solve.
Data Acquisition
The process of collecting accurate and reliable data from various sources.
Data Exploration
The phase of arranging and analyzing the data to understand underlying patterns.
Modelling
Creating models from data to achieve the project goals.
Evaluation
Testing the model on new data to assess its performance.
Deployment
The transition of the developed solution from a testing environment to real-world application.
Statistical Data
A domain of AI related to collecting and analyzing vast amounts of data.
Computer Vision (CV)
A domain of AI that enables machines to interpret and analyze visual information.
Natural Language Processing (NLP)
A branch of AI that focuses on the interaction between computers and humans using natural language.
Ethical Frameworks
Guidelines that help ensure the choices made in AI do not cause unintended harm.
Bioethics
An ethical framework used in healthcare that addresses ethical issues related to health and medicine.
Non-maleficence
The ethical principle of avoiding causing harm.
Beneficence
The ethical principle of promoting well-being and maximizing positive outcomes.
Justice
The ethical principle that benefits and burdens should be distributed fairly among all individuals.
Rights-based Frameworks
Ethical frameworks prioritizing the protection of human rights and dignity.
Utility-based Frameworks
Evaluates actions based on maximizing overall good and minimizing harm.
Virtue-based Frameworks
Focuses on the character and intentions of decision-makers in ethical decision-making.
Data Exploration Purpose
To discover patterns and insights in the data.
Four Principles of Bioethics
1) Respect for autonomy, 2) Do not harm, 3) Maximize benefit, 4) Justice.