AI ethics should be mandatory for schoolchildren
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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AI ethics should be mandatory for schoolchildren. / Dabbagh, Hossein; Earp, Brian D.; Mann, Sebastian Porsdam; Plozza, Monika; Salloch, Sabine; Savulescu, Julian.
I: AI and Ethics, 2024.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - AI ethics should be mandatory for schoolchildren
AU - Dabbagh, Hossein
AU - Earp, Brian D.
AU - Mann, Sebastian Porsdam
AU - Plozza, Monika
AU - Salloch, Sabine
AU - Savulescu, Julian
PY - 2024
Y1 - 2024
N2 - As society increasingly integrates artificial intelligence (AI) into its fabric, AI ethics education in primary schools becomes necessary. Drawing parallels between the integration of foundational subjects such as languages and mathematics and the pressing need for AI literacy, we argue for mandatory, age-appropriate AI education focusing on technical proficiency and ethical implications. Analogous to how sex and drug education prepare youth for real-world challenges and decisions, AI education is crucial for equipping students to navigate an AI-driven future responsibly. Our study delineates the ethical pillars, such as data privacy and unbiased algorithms, essential for students to grasp, and presents a framework for AI literacy integration in elementary schools. What is needed is a comprehensive, dynamic, and evidence-based approach to AI education, to prepare students for an AI-driven future.
AB - As society increasingly integrates artificial intelligence (AI) into its fabric, AI ethics education in primary schools becomes necessary. Drawing parallels between the integration of foundational subjects such as languages and mathematics and the pressing need for AI literacy, we argue for mandatory, age-appropriate AI education focusing on technical proficiency and ethical implications. Analogous to how sex and drug education prepare youth for real-world challenges and decisions, AI education is crucial for equipping students to navigate an AI-driven future responsibly. Our study delineates the ethical pillars, such as data privacy and unbiased algorithms, essential for students to grasp, and presents a framework for AI literacy integration in elementary schools. What is needed is a comprehensive, dynamic, and evidence-based approach to AI education, to prepare students for an AI-driven future.
U2 - 10.1007/s43681-024-00462-1
DO - 10.1007/s43681-024-00462-1
M3 - Journal article
JO - AI and Ethics
JF - AI and Ethics
SN - 2730-5953
ER -
ID: 388547807