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Terminology

What is arti­fi­cial intel­li­gence and what are new tech­nolo­gies? And how is AI dif­fer­ent to data sci­ence or machine learn­ing? Both these and oth­er rel­e­vant terms key to a cen­tral under­stand­ing of AI are defined in the Ter­mi­nol­o­gy.

The intro­duc­tion of a stan­dard­ised ter­mi­nol­o­gy is an impor­tant foun­da­tion for the func­tions of the CNAI. A com­mon lan­guage and a cor­re­spond­ing com­mon under­stand­ing of terms at the lev­el of the Fed­er­al Admin­is­tra­tion facil­i­tates the active exchange of expe­ri­ence and knowl­edge both with­in and beyond the CNAI net­work. Fur­ther­more, a com­mon under­stand­ing sim­pli­fies the com­mu­ni­ca­tion of ideas, plans and ser­vices in this area.

Important Terms

DEFRITEN
Daten­wis­senschaftsci­ence des donnéesscien­za dei datidata sci­ence
Gen­er­a­tive KIIA généra­tiveIA gen­er­a­ti­vagen­er­a­tive AI 
kün­stliche Intelligenzintel­li­gence artificielleintel­li­gen­za artificialearti­fi­cial intelligence
maschinelles Ler­nenappren­tis­sage automatiqueapprendi­men­to automaticomachine learn­ing
tiefes Ler­nenappren­tis­sage profondapprendi­men­to profondodeep learn­ing
überwacht­es Lernenappren­tis­sage superviséapprendi­men­to supervisionatosuper­vised learning
unüberwacht­es Lernenappren­tis­sage non superviséapprendi­men­to non supervisionatounsu­per­vised learning
ver­stärk­tes Lernenappren­tis­sage par renforcementapprendi­men­to per rinforzorein­force­ment learning