Understanding Bias
This term describes when AI systems unintentionally reflect human prejudices.
What is algorithmic bias?
This principle aims to ensure that AI systems treat all individuals and groups fairly and without bias.
What is fairness?
AI technologies that unintentionally reinforce existing social biases and inequalities are contributing to this societal issue.
What is digital divide?
This principle emphasizes designing AI systems that are understandable and interpretable by humans.
What is interpretability?
This type of AI system is used to provide personalized learning experiences for students based on their individual needs and progress.
What is adaptive learning?
This type of bias occurs when AI systems perpetuate or exacerbate existing social inequalities.
What is societal bias?
When designing AI systems, ensuring outcomes are fair and unbiased for all individuals refers to this concept.
What is fairness-aware AI?
The use of AI in education must consider this ethical concern to ensure all students have equal access to AI-enhanced learning tools.
What is equity?
The process of ensuring AI systems operate in accordance with ethical principles and legal requirements is known as this.
What is AI ethics governance?
AI-powered tools that assist teachers in grading and providing feedback are examples of this type of application.
What is automated assessment?
AI systems that show preference towards certain groups over others due to historical data are exhibiting this type of bias.
What is historical bias?
This approach involves adjusting AI algorithms to ensure equitable outcomes for different demographic groups.
What is algorithmic fairness?
This term refers to the ethical responsibility of developers and users of AI technologies to ensure they benefit society as a whole.
What is societal benefit?
This term refers to the process of ensuring AI systems are used responsibly and ethically throughout their lifecycle.
What is AI ethics?
AI systems that analyze student data to predict future performance and identify at-risk students are known as this.
What is predictive analytics?
This bias arises when AI systems make assumptions about individuals based on limited or incomplete data.
What is sampling bias?
This term describes the practice of continuously monitoring AI systems to detect and mitigate biases.
What is bias detection and mitigation?
The potential misuse of AI technologies, such as for surveillance or discriminatory practices, raises concerns about this aspect of societal impact.
What is ethics in AI?
The practice of designing AI systems to empower and assist humans in decision-making processes is known as this.
What is human-centered AI?
AI systems that provide personalized recommendations to students to enhance their study plans and learning outcomes are known as this.
What is a recommendation system?
When an AI system consistently overestimates or underestimates outcomes for a particular group, it is demonstrating this type of bias.
When AI systems are designed to minimize disparate impact on different groups, they are promoting this type of fairness.
What is equal opportunity?
AI systems that promote fairness, accountability, and transparency contribute positively to this aspect of societal impact.
What is ethical AI?
This principle emphasizes the importance of AI systems being designed to enhance societal well-being and human dignity.
What is human dignity in AI?
AI systems that help educators develop more effective teaching strategies by analyzing classroom interactions and learning outcomes are referred to as this.
What is instructional design support?