Please finish these reading reports such that they: 1.follow the guidelines 2. are not detectable for any AI writing on these websites: -https://copyleaks.com/ai-content-detector?fbclid=IwAR2Zip7fBI4Z

E th ic a l c o nsid era tio ns s h ould b e a t t h e t o p o f t h e l is t o f i m porta nce o f A I a nd M L d eve lo pm ent. T he r a pid d eve lo pm ent a nd w id esp re ad a doptio n o f a rtif ic ia l i n te llig ence ( A I) a nd m ach in e l e arn in g ( M L) t e ch nolo gie s h ave r a is e d p re ssin g e th ic a l c o nce rn s, i n clu din g t h e p erp etu atio n o f b ia se s, f a ir n ess, a cco unta bilit y , a nd t r a nsp are ncy. S om e r e se arc h ers s a y t h at w e a re n ot c lo se t o g enera l a rtif ic ia l i n te llig ence , o r m ayb e t h at i t ’ll n eve r h appen ( F je lla nd), w hile o th ers b elie ve t h at w e a re o ne s te p a w ay f r o m i t ( S ilv e r e t a l. ) . B y p ro activ e ly a ddre ssin g t h ese c h alle nges, d eve lo pers c a n c re ate A I a nd M L s yste m s t h at p ro m ote e quit a ble , t r a nsp are nt, a nd a cco unta ble o utc o m es, u lt im ate ly e nsu rin g t h at t h ese p ow erfu l t e ch nolo gie s s e rv e a s t o ols f o r s o cie ta l b ette rm ent r a th er t h an m akin g e xis tin g i n equalit ie s w ors e . T he p ote ntia l d eve lo pm ent o f g enera l a rtif ic ia l i n te llig ence ( G AI) h as s p ark e d a d ebate a m ong r e se arc h ers a bout i t s i m plic a tio ns a nd f e asib ilit y . S ilv e r e t a l. ( 2 021) a rg ue t h at a s in gle r e w ard s yste m c o uld b e t h e k e y t o a ch ie vin g G AI, a s i t w ould a llo w m ach in es t o l e arn a nd a dapt t o v a rio us t a sks w it h out r e quir in g s p ecif ic g oals o r o bje ctiv e s. O n t h e o th er h and, F je lla nd ( 2 020) a rg ues t h at G AI w ill n eve r c o m e t o b e d ue t o t h e f u ndam enta l l im it a tio ns o f A I. F or e xa m ple , t h e l a ck o f h um an-lik e u nders ta ndin g, o r t h e i n abilit y t o t r u ly g ra sp t h e c o m ple xit y o f t h e w orld . T his o ngoin g d ebate h ig hlig hts t h e i m porta nce o f c o nsid erin g t h e e th ic a l i m plic a tio ns o f A I a nd M L s yste m s, a s t h is i s a f ie ld o f s tu dy w here t h ere w ill a lw ays b e d if f e rin g o pin io ns, b ut t h e o utc o m e w ill b e m assiv e ly e ff e ctiv e f o r e ve ry o ne. F ie ld C ady's D ata S cie nce H andbook h ig hlig hts t h e i m porta nce o f d ata q ualit y a nd a pply in g a t h oro ugh a nd s yste m atic a ppro ach i n d eve lo pin g p re dic tiv e m odels . C ady h ig hlig hts t h e n eed f o r d ata s cie ntis ts t o b e a w are o f p ote ntia l b ia se s i n t h eir d ata se ts a nd t h e b ro ader c o nte xt i n w hic h d ata i s c o lle cte d. T his a w are ness i s c ru cia l f o r e nsu rin g t h at A I a nd M L s yste m s d o n ot i n adve rte ntly s u pport i n equalit y i n s o cie ty . A s C ady s ta te s, b ad d ata l e ads t o b ad c o nclu sio ns ( C ady). B y i n co rp ora tin g e th ic a l c o nsid era tio ns i n to e ach s ta ge o f t h e p ro ce ss, d ata s cie ntis ts c a n m ore e ff e ctiv e ly a ddre ss p ote ntia l b ia se s a nd s tr iv e f o r f a ir n ess i n t h eir m odels .

C ath y O 'N eil's W eapons o f M ath D estr u ctio n e xp ose s t h e h id den b ia se s a nd u nfa ir p ra ctic e s t h at c a n a ris e f r o m s e em in gly n eutr a l m ath em atic a l m odels . O 'N eil d em onstr a te s h ow d ata -d riv e n a lg orit h m s, w hic h h ave f a r-re ach in g e ff e cts i n a re as s u ch a s e m plo ym ent, l e ndin g m oney, a nd c rim in al j u stic e , o fte n p erp etu ate a nd e xa ce rb ate e xis tin g s o cia l i n equalit ie s d ue t o t h eir r e lia nce o n h is to ric a l d ata a nd f la w ed a ssu m ptio ns. A s O 'N eil a sse rts , m any o f t h ese m odels , p ow ere d b y b ig d ata , a re W MDs— wid esp re ad, m yste rio us, a nd d estr u ctiv e ( O 'N eil) . H er w ork s e rv e s a s a w arn in g, w hic h u rg es p ra ctit io ners t o r e co gniz e a nd a ddre ss t h e p ote ntia l h arm s t h eir m odels c a n i n flic t o n v u ln era ble p opula tio ns. O 'N eil's e xp lo ra tio n o f t h e e th ic a l i m plic a tio ns o f A I a nd M L a ls o h ig hlig hts t h e n eed f o r t r a nsp are ncy i n t h ese s yste m s, a s w ell a s t h e i m porta nce o f a cco unta bilit y i n e nsu rin g t h at d eve lo pers a nd o rg aniz a tio ns a re h eld r e sp onsib le f o r t h e c o nse quence s o f t h eir t e ch nolo gie s. T im nit G ebru 's r e se arc h o n f a ir n ess, a cco unta bilit y , a nd t r a nsp are ncy i n A I e m phasiz e s t h e n eed f o r c o lla bora tio n t o a ddre ss t h e e th ic a l c h alle nges p ose d b y A I a nd M L s yste m s. B y b rin gin g t o geth er c o m pute r s cie ntis ts , s o cia l s cie ntis ts , a nd d om ain e xp erts , t h e w orld c a n b ette r u nders ta nd t h e b ro ader i m plic a tio ns o f t h ese t e ch nolo gie s a nd d eve lo p s tr a te gie s t o m it ig ate p ote ntia l h arm s. T his w ould m ean u sin g f a ir n ess-a w are m ach in e l e arn in g t e ch niq ues t o e nsu re t h at m odels d o n ot d is a dva nta ge c e rta in g ro ups o r u phold h is to ric a l b ia se s. I n o rd er t o m ake s u re t h at A I a nd M L p ra ctic e s a re r e sp onsib le , d ata s cie ntis ts m ust c rit ic a lly a sse ss t h eir d ata se ts a nd b e m in dfu l o f p ote ntia l b ia se s a nd i n accu ra cie s. B y i n co rp ora tin g d iv e rs e p ers p ectiv e s a nd c o nsid erin g t h e r e al- w orld i m plic a tio ns o f t h eir m odels , d eve lo pers c a n w ork t o w ard s c re atin g m ore e quit a ble s yste m s. A ddit io nally , f a ir n ess-a w are m ach in e l e arn in g t e ch niq ues s h ould b e i n te gra te d i n to t h e d eve lo pm ent p ro ce ss. T his i n vo lv e s a sse ssin g t h e i m pact o f a lg orit h m s o n d if f e re nt s e ctio ns o f t h e p opula tio n a nd m akin g n ece ssa ry a dju stm ents t o a ch ie ve f a ir o utc o m es. C olla bora tio n b etw een c o m pute r s cie ntis ts , s o cia l s cie ntis ts , a nd d om ain e xp erts i s v it a l, b y w ork in g t o geth er, w e c a n b ette r u nders ta nd t h ese s yste m s. F in ally , t r a nsp are ncy a nd a cco unta bilit y m ust b e e sta blis h ed d urin g a nd a fte r t h e d eve lo pm ent. T his i n clu des c le arly d ocu m entin g m eth odolo gie s, a ssu m ptio ns, a nd l im it a tio ns, a s w ell a s i m ple m entin g m ech anis m s t o h old d eve lo pers a nd o rg aniz a tio ns a cco unta ble f o r t h e i m pact o f t h eir t e ch nolo gie s. T he e th ic a l i m plic a tio ns o f A I a nd m ach in e l e arn in g a re i n cre asin gly s ig nif ic a nt a s t h ese t e ch nolo gie s b egin a nd c o ntin ue t o t r a nsfo rm i n dustr ie s a nd s o cie tie s w orld w id e. B y r e co gniz in g a nd a ddre ssin g b ia se s, e m plo yin g f a ir n ess-a w are t e ch niq ues, f o ste rin g i n te rd is cip lin ary c o lla bora tio n, a nd e sta blis h in g t r a nsp are ncy a nd a cco unta bilit y , w e c a n d eve lo p A I a nd M L s yste m s t h at n ot o nly d riv e i n nova tio n a nd e ff ic ie ncy b ut a ls o p ro m ote e quit y , f a ir n ess, a nd s o cia l r e sp onsib ilit y . I t i s c ru cia l t h at d eve lo pers , r e se arc h ers , p olic ym ake rs , a nd o th er i n ve ste d i n div id uals w ork t o geth er t o c re ate c o m pre hensiv e g uid elin es a nd r e gula tio ns g ove rn in g t h e u se o f A I a nd M L, e nsu rin g t h at t h ese p ow erfu l t e ch nolo gie s a re u se d f o r t h e g ood o f s o cie ty a s a w hole .

W ork s C it e d:

F ie ld , C ady. T he D ata S cie nce R oad M ap. h ttp s://o nlin elib ra ry .w ile y.c o m /d oi/ p df/1 0 .1 002/9 78111 9092919.c h 2 . S ilv e r, D avid , e t a l. “ R ew ard I s E nough.” A rtif ic ia l I n te llig ence , E ls e vie r, 2 4 M ay 2 021, h ttp s://w ww.s cie nce dir e ct.c o m /s cie nce /a rtic le /p ii/ S 00 04370221000862 . O 'N eil, C ath y. W eapons o f M ath D estr u ctio n H ow B ig D ata I n cre ase s I n equalit y a nd T hre ate ns D em ocra cy .

P enguin B ooks, 2 018. G ebru , T im nit , e t a l. “ D ata sh eets f o r D ata se ts .” A rX iv .o rg , 1 D ec. 2 021, h ttp s://a rx iv .o rg /a bs/1 803.0 9010. F je lla nd, R agnar. “ W hy G enera l A rtif ic ia l I n te llig ence W ill N ot B e R ealiz e d.” N atu re N ew s , N atu re P ublis h in g G ro up, 1 7 J u ne 2 020, h ttp s://w ww.n atu re .c o m /a rtic le s/s 4 1599-0 20-0 4 94-4 .