,i #aai? ,,congress #a/ ,session ,h4 ,r4 #bggj ,,9 ,,! ,,h\se ,,( ,,repres5tatives ,april #i1 #bjbe,mr4 ,scott ,frankl9 ( ,florida introduc$ ! foll[+ bill2 :i* 0 ref]r$ to ! ,committee on ,sci5ce1 ,space1 & ,te*nology ,a ,,bill ,to direct ! use ( artificial intellig5ce by ,national ,oceanic & ,atmosph]ic ,adm9i/ration to adapt to extreme wea!r1 & = o!r purposes4 #a4 ,%ort title2 table ( cont5ts 7a7 ,%ort title ,?is ,act may be cit$ z ! ,trans=mational ,artificial intellig5ce to ,mod]nize ! ,economy aga9/ ,extreme ,wea!r & ,wildfires ,act or ! ,,tame ,extreme ,wea!r & ,wildfires ,act4 7b7 ,table ( cont5ts ,! table ( cont5ts = ?is ,act is z foll[s3 ,sec4 #a4 ,%ort title2 table ( cont5ts4 ,sec4 #b4 ,def9itions4 ,sec4 #c4 ,e>? sy/em =eca/+ & in=mation deliv]y4 ,sec4 #d4 ,advanc$ artificial intellig5ce applications = wea!r & in=mation deliv]y4 ,sec4 #e4 ,te*nical assi/ance on use ( artificial intellig5ce wea!r models4 ,sec4 #f4 ,fire environm5t model+ program4 ,sec4 #g4 ,p>tn]%ips = trans=mational innovation4 ,sec4 #h4 ,f$]al ,gov]nm5t work=ce exp]tise4 ,sec4 #i4 ,data access4 #b4 ,def9itions ,9 ?is ,act3 7#a7 ,artificial intellig5ce 7,a7 ,9 g5]al ,! t]m artificial intellig5ce means a ma*9e-bas$ sy/em t c1 = a giv5 set ( human-def9$ objectives1 make pr$ictions1 recomm5dations1 or decisions influ5c+ real or virtual environm5ts1 includ+ by us+ ma*9e-bas$ & human-bas$ inputs-- 7i7 to ab/ract su* objectives into models ?r\gh analysis 9 an automat$ mann]2 & 7ii7 to use model inf]5ces to g5]ate in=mation or =mulate options = action4 7,b7 ,inclusions ,! t]m artificial intellig5ce includes ma*9e le>n+1 neural networks1 & natural language process+4 7#b7 ,artificial intellig5ce wea!r model ,! t]m artificial intellig5ce wea!r model means a wea!r model bas$ prim>ily on artificial intellig5ce to project future ,e>? sy/em conditions bas$ on ma*9e le>n+ f an ,e>? sy/em reanalysis dataset4 7#c7 ,curate ,! t]m curate means to collect1 ma9ta91 & update p]iodically a dataset-- 7,a7 to ensure & docum5t its quality2 & 7,b7 to provide metadata on its prov5ance4 7#d7 ,num]ical wea!r model ,! t]m num]ical wea!r model means a wea!r model bas$ prim>ily on c\pl$ ,e>? sy/em processes & t uses num]ical computation to =eca/ future ,e>? sy/em conditions4 7#e7 ,obs]vational data ,! t]m obs]vational data means data f actual obs]vations ( environm5tal conditions1 includ+ remote s5s+ & 9 situ plat=ms4 7#f7 ,op5 lic5se ,! t]m op5 lic5se has ! mean+ giv5 t t]m 9 section #cejb7ba7 ( title #dd1 ,unit$ ,/ates ,code4 7#g7 ,re=eca/ analysis ,! t]m re=eca/ analysis means ! assessm5t ( a num]ical wea!r model or artificial intellig5ce wea!r model by comp>+ model output & obs]vational data ov] a p]iod ( "t 9 ! pa/4 7#h7 ,syn!tic data ,! t]m syn!tic data means data produc$ f a model or /ati/ical me?od 9 ord] to fill gaps 9 obs]vational data4 7#i7 ,tra9+ dataset ,! t]m tra9+ dataset means a dataset us$ to tra9 an artificial intellig5ce model4 7#aj7 ,"u ,secret>y ,! t]m ,"u ,secret>y means ! ,"u ,secret>y ( ,comm]ce = ,oceans & ,atmosph]e4 7#aa7 ,wea!r ent]prise ,! t]m wea!r ent]prise has ! mean+ giv5 su* t]m 9 section #b ( ! ,wea!r ,rese>* & ,=eca/+ ,innovation ,act ( #bjag 7#ae ,u4,s4,c4 #heja74 #c4 ,e>? sy/em =eca/+ & in=mation deliv]y 7a7 ,9 g5]al ,n lat] ?an two ye>s aft] ! date ( ! enactm5t ( ?is ,act1 ! ,"u ,secret>y1 9 consultation ) ! ,secret>y ( ,en]gy1 ! ,adm9i/rator ( ! ,national ,a]onautics & ,space ,adm9i/ration1 ! ,director ( ! ,national ,sci5ce ,f\ndation1 any appropriate ,f$]al ,advisory ,committee1 & su* o!r te*nical exp]ts z ! ,"u ,secret>y consid]s appropriate1 %all develop & curate compreh5sive wea!r =eca/+ tra9+ datasets ) relevant ,e>? sy/em data1 quality in=mation1 & metadata necess>y = wea!r =eca/+ dataset t develops a long-t]m record ( pa/ wea!r 9 support ( ! foll[+3 7#a7 ,fur!r+ ! und]/&+ ( wea!r1 wat]1 & space wea!r model+ & data4 7#b7 ,advanc+ ! sci5ce ( wea!r =eca/+1 includ+ seasonal & subseasonal =eca/+4 7#c7 ,develop+ artificial intellig5ce wea!r =eca/+ applications4 7b7 ,use ( exi/+ datasets ,9 ord] to spe$ ! developm5t ( ! wea!r =eca/+ tra9+ dataset requir$ "u subsection 7a71 ! ,"u ,secret>y %all assess1 & to ! greate/ ext5t practicable build on1 exi/+ wea!r =eca/+ tra9+ datasets ( ! ,f$]al ,gov]nm5t4 7c7 ,artificial intellig5ce wea!r model 7#a7 ,9 g5]al ,9 c>ry+ out ?is section1 ! ,"u ,secret>y1 9 consultation ) any appropriate ,f$]al ,advisory ,committees1 may develop & te/ a global wea!r model bas$ on artificial intellig5ce1 to be ref]r$ to z an artificial intellig5ce wea!r model4 7#b7 ,wea!r ready nation ,9 coord9ation ) ! activities c>ri$ out "u p>agraph 7#a71 ! ,"u ,secret>y may explore us+ artificial intellig5ce to enhance ! dissem9ation ( in=mation & evaluation ( effectiv5ess = improv$ public und]/&+1 prep>$ness1 & resili5ce4 7#c7 ,reports ,n lat] ?an two ye>s aft] ! date ( ! enactm5t ( ?is ,act & n less frequ5tly ?an annually !reaft]1 ! ,"u ,secret>y %all submit to ! ,committee on ,comm]ce1 ,sci5ce1 & ,transportation ( ! ,s5ate & ! ,committee on ,sci5ce1 ,space1 & ,te*nology ( ! ,h\se ( ,repres5tatives a report on ! activities conduct$ "u p>agraph 7#a74 7d7 ,coop]ative in/itutes & contract+ au?ority ,9 c>ry+ out ?is section1 subject to ! availability ( appropriations1 ! ,"u ,secret>y may competitively aw>d contracts & fund+ opportunities1 increase ! scope ( exi/+ coop]ative in/itutes ( ! ,national ,oceanic & ,atmosph]ic ,adm9i/ration1 or competitively aw>d a new coop]ative in/itute4 7e7 ,environm5tal impact ,! ,"u ,secret>y %all develop & dissem9ate be/ practices to m9imize environm5tal impacts f ! use ( artificial intellig5ce to c>ry out ?is section4 7f7 ,cont9u$ support = obs]vations1 basic rese>*1 & num]ical wea!r models ,not)/&+ ! requirem5ts ( ?is section1 ! ,"u ,secret>y %all cont9ue to support & advance ! activities ( ! ,national ,oceanic & ,atmosph]ic ,adm9i/ration c>ry out ! foll[+3 7#a7 ,collect & acquire traditional & novel obs]vational data relevant = artificial intellig5ce & num]ical wea!r models4 7#b7 ,advance rese>* on ! ,e>? sy/em & num]ical wea!r models4 7#c7 ,develop & advance num]ical ,e>? sy/em model+ = pr$ictions4 7#d7 ,develop wea!r model data po/-process+ te*niques4 7#e7 ,improve data assimilation te*niques4 #d4 ,advanc$ artificial intellig5ce applications = wea!r & in=mation deliv]y ,! ,"u ,secret>y %all explore advanc$ applications ( artificial intellig5ce to improve wea!r =eca/s & in=mation deliv]y1 su* z by c>ry+ out ! foll[+3 7#a7 ,improv+ data assimilation te*niques4 7#b7 ,us+ artificial intellig5ce wea!r models to quickly emulate runn+ num]ical wea!r models to assess & improve ! confid5ce 9 & reliability ( wea!r =eca/s & in=mation deliv]y4 7#c7 ,improv+ impact-bas$ decision support to communities = great] societal b5efits bas$ on wea!r =eca/s4 #e4 ,te*nical assi/ance on use ( artificial intellig5ce wea!r models 7a7 ,9 g5]al ,! ,"u ,secret>y %all regul>ly inv5tory & assess major non-,f$]al ,gov]nm5t artificial intellig5ce wea!r models 9 ord] to provide ! foll[+3 7#a7 ,te*nical evaluation & assi/ance on us+ su* models4 7#b7 ,be/ practices on provid+ =eca/s bas$ on outputs f bo? artificial intellig5ce wea!r models & num]ical wea!r models1 or a comb9ation !re(4 7#c7 ,support = =eca/]s & social sci5ti/s to te/ & evaluate ! use & effectiv5ess ( artificial intellig5ce models1 includ+ )9 ,national ,oceanic & ,atmosph]ic ,adm9i/ration te/b$s4 7#d7 ,support = em]g5cy manag]s to make op]ational decisions bas$ on outputs f bo? artificial intellig5ce wea!r models & num]ical wea!r models1 or a comb9ation !re(4 7b7 ,re=eca/ analysis 7#a7 ,9 g5]al ,! ,"u ,secret>y %all support ! developm5t ( a common framework = ! assessm5t ( num]ical wea!r models & artificial intellig5ce wea!r models ?r\gh re=eca/ analysis & relat$ me?odologies z ! ,"u ,secret>y consid]s appropriate4 7#b7 ,be/ practices ,9 c>ry+ out ?is subsection1 ! ,"u ,secret>y may develop & dissem9ate be/ practices 9 collaboration ) ! foll[+3 7,a7 ,! ,national ,in/itute = ,/&>ds & ,te*nology4 7,b7 ,! ,national ,a]onautics & ,space ,adm9i/ration4 7,c7 ,! ,national ,sci5ce ,f\ndation4 7,d7 ,! ,dep>tm5t ( ,en]gy4 7,e7 ,academic & rese>* in/itutions4 7,f7 ,! private sector4 7#c7 ,report on use ( analysis to improve models ,n lat] ?an "o ye> aft] ! date ( ! enactm5t ( ?is ,act1 ! ,"u ,secret>y %all submit to ! ,committee on ,comm]ce1 ,sci5ce1 & ,transportation ( ! ,s5ate & ! ,committee on ,sci5ce1 ,space1 & ,te*nology ( ! ,h\se ( ,repres5tatives a report on ! feasibility ( us+ re=eca/ analysis te*niques to improve seasonal & subseasonal models4 7c7 ,wea!r =eca/ (fices ,9 c>ry+ out ?is section1 ! ,"u ,secret>y %all provide te*nical assi/ance1 be/ practices1 & support requir$ "u subsection 7a7 ?r\gh wea!r =eca/ (fices ( ! ,national ,oceanic & ,atmosph]ic ,adm9i/ration4 7d7 ,indep5d5t /udy on ! impacts ( artificial intellig5ce wea!r1 wat]1 & space wea!r models ,! ,"u ,secret>y may ent] into an agreem5t ) ! ,national ,academy ( ,sci5ces or any o!r entity det]m9$ appropriate by ! ,"u ,secret>y to assess ! impacts ( artificial intellig5ce wea!r models on ! wea!r ent]prise & make recomm5dations to improve ! integration ( su* models 9 op]ational =eca/+4 #f4 ,fire environm5t model+ program 7a7 ,9 g5]al ,n lat] ?an "o ye> aft] ! date ( ! enactm5t ( ?is ,act1 ! ,"u ,secret>y1 9 coord9ation ) ! ,secret>y ( ! ,int]ior1 ! ,secret>y ( ,agriculture1 & ! ,secret>y ( ,homel& ,security1 & 9 consultation ) ! ,adm9i/rator ( ! ,national ,a]onautics & ,space ,adm9i/ration1 ! ,secret>y ( ,en]gy1 ! ,director ( ! ,national ,sci5ce ,f\ndation1 any appropriate ,f$]al advisory committees1 & su* o!r te*nical exp]ts z ! ,"u ,secret>y consid]s appropriate1 %all develop a program to use artificial intellig5ce to analyze available obs]vational data & syn!tic data on ! built & natural environm5ts 9 ord] to c>ry out ! foll[+3 7#a7 ,w>n at-risk communities1 firefight]s1 & o!r respond]s1 includ+ by integrat+ social sci5ce in=m$ rese>* & developm5t4 7#b7 ,pr$ict & detect wildfires to ! maximum ext5t practicable4 7#c7 ,=eca/ wildl& & built environm5t fire propagation & pot5tial impacts bas$ on an analysis ( ! elem5ts influ5c+ fire behavior1 wea!r conditions1 t]ra91 & obs]vations ( ! fire environm5t4 7#d7 ,detect1 monitor1 & =eca/ smoke & o!r haz>ds associat$ ) wildfires4 7b7 ,tra9+ dataset ,9 c>ry+ out ?is section1 ! ,"u ,secret>y may acquire obs]vational data & syn!tic data on ! built & natural environm5ts collect$ across ! ,unit$ ,/ates to develop & curate a relat$ artificial intellig5ce-ready tra9+ dataset = purposes ( tra9+ ! artificial intellig5ce us$ 9 fur!rance ( ?is section4 7c7 ,data acquisition ,9 c>ry+ out ?is section1 ! ,"u ,secret>y may ent] into contracts to acquire relevant data ref]r$ to 9 ?is section4 7d7 ,wea!r integration ,9 c>ry+ out ?is section1 ! ,"u ,secret>y %all integrate outputs f wea!r & o!r environm5tal models & obs]vational data & syn!tic data ref]r$ to 9 subsection 7a74 7e7 ,environm5tal impact ,! ,"u ,secret>y %all develop & dissem9ate be/ practices to m9imize environm5tal impacts f ! use ( artificial intellig5ce to c>ry out ?is section4 #g4 ,p>tn]%ips = trans=mational innovation 7a7 ,9 g5]al ,! ,"u ,secret>y %all explore novel /ructures = p>tn]%ips ) private entities & academic entities = trans=mative innovation 9 wea!r =eca/+ & o!r environm5tal =eca/s 9 ord] to c>ry out ! foll[+3 7#a7 ,fur!r ! und]/&+ ( wea!r1 wat]1 wildfires1 & space wea!r1 & associat$ societal impact4 7#b7 ,advance ! sci5ce ( wea!r & wat] =eca/+1 includ+ seasonal & subseasonal =eca/+4 7#c7 ,develop1 evaluate1 & transition artificial intellig5ce wea!r1 wat]1 & haz>d =eca/+ applications = op]ations4 7b7 ,co-,inve/m5t ,9 c>ry+ out ?is section1 subject to applicable law1 ! ,"u ,secret>y %all consid] & adopt novel co-inve/m5t /rategies ) ! private sector & academic sector1 includ+ ! foll[+3 7#a7 ,non-,f$]al ,gov]nm5t contributions to res\rce & support high-risk1 high-return rese>* & developm5t 9 environm5tal =eca/+1 data sci5ce1 artificial intellig5ce1 & relat$ fields4 7#b7 ,%>$ rights to intellectual prop]ty f rese>* & developm5t activities "u ?is section4 7#c7 ,o!r approa*es to %>+ res\rces & results "u ?is section4 #h4 ,f$]al ,gov]nm5t work=ce exp]tise 7a7 ,9 g5]al ,! ,"u ,secret>y1 to ! maximum ext5t practicable1 %all develop1 recruit1 & su/a9 a pr(essional work=ce = wea!r =eca/+ applications ( artificial intellig5ce4 7b7 ,collaboration ,! ,"u ,secret>y %all lev]age robu/ public-private p>tn]%ip models to collaborate ) private sector exp]ts & provide employees ) access to tra9+1 exp]i5ce1 & long-t]m developm5t ( work=ce & infra/ructure 9 ord] to utilize artificial intellig5ce to improve wea!r =eca/s4 #i4 ,data access 7a7 ,9 g5]al ,! ,"u ,secret>y may make available to ! public1 z ! ,"u ,secret>y det]m9es appropriate1 at no co/ & ) no re/rictions on copy+1 publi%+1 di/ribut+1 cit+1 adapt+1 or o!rwise us+ "u an op5 lic5se1 any data or code develop$ "u ?is ,act4 7b7 ,accommodations ,! ,"u ,secret>y may make su* accommodations z ! ,"u ,secret>y consid]s appropriate to ensure t ! public release ( any model1 in=mation1 docum5tation1 or data pursuant to ?is ,act does n jeop>dize any ( ! foll[+3 7#a7 ,national security4 7#b7 ,intellectual prop]ty or r$i/ribution rights1 includ+ "u titles #ag & #ce1 ,unit$ ,/ates ,code4 7#c7 ,any trade secret or comm]cial or f9ancial in=mation subject to section #eeb7;b77#d7 ( title #e1 ,unit$ ,/ates ,code4 7#d7 ,any models or data t are o!rwise re/rict$ by contract or o!r writt5 agreem5t4 7#e7 ,! mission ( ! ,national ,oceanic & ,atmosph]ic ,adm9i/ration to protect lives & prop]ty4 7c7 ,rule ( con/ruction ,no?+ 9 ?is ,act may be con/ru$ to sup]s$e any o!r provision ( law gov]n+ ! protection ( ! national security int]e/s ( ! ,unit$ ,/ates4