UMHLAHLANDLELA womphakathi

I-GDPR kanye Nokwenza Izinqumo Okuzenzakalelayo

I-EU's General Data Protection Regulation inika abantu amalungelo lapho amakhompyutha enza izinqumo ezibalulekile ngawo ngokuzenzakalelayo.

Uhlolojikelele

I-EU's General Data Protection Regulation inika abantu amalungelo lapho amakhompyutha enza izinqumo ezibalulekile ngawo ngokuzenzakalelayo. Kungomunye wemithetho yomhlaba enethonya elikhulu ekulolongeni ukuthi amasistimu e-AI angasetshenziswa kanjani kubantu baseYurophu.

I-GDPR kanye Nokwenza Izinqumo Okuzenzakalelayo kuhlezi ekumpambanweni kwamandla, amandla, nokuzikhethela komphakathi - lapho ukuphepha, ukubusa, nokuba semthethweni kunquma ukuthi i-AI ethuthukisiwe iyasiza noma iyalimaza esikalini.

I-Deep Dive

I-GDPR, esebenza kusukela ngoMeyi 2018, ingumthetho wobumfihlo ophambili we-EU. Ukunikezwa kwayo okuhlobene kakhulu ne-AI yi-Athikili 22, ethi abantu banelungelo lokungabi ngaphansi kwesinqumo esisekelwe kuphela ekucubunguleni okuzenzakalelayo okukhiqiza imiphumela engokomthetho noma ebalulekile efanayo, njengokunqatshelwa kwemali mboleko okuzenzakalelayo noma ukwenqatshwa kokuqashwa okuzenzakalelayo. Kukhona okuhlukile: isinqumo singavunyelwa uma sidingeka kwinkontileka, sigunyazwe umthetho, noma sisekelwe emvumeni ecacile. Noma kunjalo, inhlangano kufanele ikunikeze izivikelo, okuhlanganisa nelungelo lokungenelela komuntu, ukuveza umbono wakho, nokuphikisa isinqumo. I-Athikili 22 isebenza noma nini lapho isinqumo sizenzakalela kuphela futhi sibalulekile, kungakhathaliseki ukuthi i-AI ibihilelekile.

I-Technical Insight

I-athikili 22 incike emikhawulweni emibili: isinqumo kufanele sibe ngokuzenzakalela kuphela (akukho ukubandakanyeka komuntu okunengqondo) futhi sibe nemiphumela engokomthetho noma ebalulekile efanayo. Okuphumayo kwe-algorithm yokunyathela injoloba akubalwa njengokubuyekeza okunenjongo. Kuhlanganiswe ne-Athikili 13-15, abalawuli kufanele banikeze ulwazi oluphusile mayelana nokucabanga okuhilelekile. Lokhu kuphushela amafemu kumamodeli achazekayo kanye namalogi acwaningayo, njengoba kufanele akwazi ukuchaza indlela okokufaka kwemephu esinqumweni.

I-Mastering GDPR kanye Nokwenza Izinqumo Okuzenzakalelayo

Ukuze wakhe ukuqonda okujulile, phatha i-GDPR kanye Nokwenza Izinqumo Okuzenzakalelayo njengemodeli yokusebenza, hhayi isici esisodwa. Chaza imiphumela oyifunayo, cacisa ukucabanga, futhi uhlukanise lokho isistimu engakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.

Empeleni, amaqembu aqinile asebenzisa i-GDPR kanye ne-Automated Decision-Making ukukhula kwamandla okubili ngokubusa, ukuphepha, kanye nezakhiwo zokuziphendulela ezicacile. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.

Ukulimala kwe-AI okuyinhlekelele nokwansuku zonke kokubili kuncike ekutheni ubani oqonda ubungozi nokuthi ubani ongathatha isinyathelo. Ngesikhathi esifanayo, Ukwelapha ubungozi obukhona njenge-sci-fi kuyilapho amandla ehlanganisa. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.

I-Strategic Impact

Ukulimala kwe-AI okuyinhlekelele nokwansuku zonke kokubili kuncike ekutheni ubani oqonda ubungozi nokuthi ubani ongathatha isinyathelo.

Ukulimala kwe-AI okuyinhlekelele nokwansuku zonke kokubili kuncike ekutheni ubani oqonda ubungozi nokuthi ubani ongathatha isinyathelo. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Ukwazi ukufunda nokubhala komphakathi kanye nobungcweti bumba ukuthi inqubomgomo eqinile yokuphepha ingenzeka yini ngokwepolitiki.

Ukwazi ukufunda nokubhala komphakathi kanye nobungcweti bumba ukuthi inqubomgomo eqinile yokuphepha ingenzeka yini ngokwepolitiki. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Izincazelo ezicacile zinciphisa ukuthwebula nge-hype, lab PR, netiyetha yezimiso ezingacacile.

Izincazelo ezicacile zinciphisa ukuthwebula nge-hype, lab PR, netiyetha yezimiso ezingacacile. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Ikusasa le-GDPR kanye Nokwenza Izinqumo Okuzenzakalelayo

Ukusetshenziswa kwe-GDPR kuyadlondlobala, futhi manje kugqagqana noMthetho we-EU AI, owengeza izibopho ezibekwe engcupheni kumasistimu anobungozi obukhulu njengokuthola amaphuzu esikweletu nokuqasha. Lindela ukuqondiswa okwengeziwe kokuthi yini ebaluleke njengesinqumo esizenzakalelayo kuphela, ukucutshungulwa okuqinile kokuphrofayili, nezinhlawulo ezinkulu (kufika ku-4% wenzuzo yomhlaba wonke). Izinkantolo, okuhlanganisa neNkantolo Yezobulungiswa ye-EU ecaleni lokuthola amaphuzu esikweletu le-SCHUFA, ziyakucacisa lapho ukukhiqiza amaphuzu kucupha ukuvikelwa kwe-Article 22.

Ukuqaliswa Komhlaba Wangempela

Ibhange lenqaba ngokuzenzakalelayo isicelo sekhadi lesikweletu lisebenzisa i-algorithm yamaphuzu, bese kufanele linikeze umfakisicelo indlela yokucela ukubuyekezwa komuntu.

Umbolekisi we-inthanethi kufanele atshele umboleki owenqatshiwe izici eziyinhloko ezibangela ukuphika okuzenzakalelayo ngaphansi kwelungelo lokuthola ulwazi olunengqondo mayelana nomqondo.

Inkundla ye-gig-economy eyenza abashayeli bangasebenzi ngokuzenzakalelayo ngokusekelwe kuzilinganiso ibhekene nenselelo ye-Athikili 22 phezu kokuxoshwa okuzenzakalelayo kuphela.

Umqashi osebenzisa isofthiwe yokuhlola i-AI CV kufanele akhe endaweni yokuhlola yomuntu ngaphambi kokugcina ukwenqatshwa kokuqashwa ukuze athobele i-Athikili 22.

Amaphethini Okusebenzisa

I-GDPR kanye Nokwenza Izinqumo Okuzenzakalelayo ekusebenzeni

Ibhange lenqaba ngokuzenzakalelayo isicelo sekhadi lesikweletu lisebenzisa i-algorithm yamaphuzu, bese kufanele linikeze umfakisicelo indlela yokucela ukubuyekezwa komuntu.

Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-GDPR kanye Nokwenza Izinqumo Okuzenzakalelayo ekusebenzeni

Umbolekisi we-inthanethi kufanele atshele umboleki owenqatshiwe izici eziyinhloko ezibangela ukuphika okuzenzakalelayo ngaphansi kwelungelo lokuthola ulwazi olunengqondo mayelana nomqondo.

Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-GDPR kanye Nokwenza Izinqumo Okuzenzakalelayo ekusebenzeni

Inkundla ye-gig-economy eyenza abashayeli bangasebenzi ngokuzenzakalelayo ngokusekelwe kuzilinganiso ibhekene nenselelo ye-Athikili 22 phezu kokuxoshwa okuzenzakalelayo kuphela.

Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-GDPR kanye Nokwenza Izinqumo Okuzenzakalelayo ekusebenzeni

Umqashi osebenzisa isofthiwe yokuhlola i-AI CV kufanele akhe endaweni yokuhlola yomuntu ngaphambi kokugcina ukwenqatshwa kokuqashwa ukuze athobele i-Athikili 22.

Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

Izingozi & Guardrails

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Ukuphatha ubungozi obukhona njenge-sci-fi kuyilapho amandla ehlanganisa.

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Ukudida ukuphepha komkhiqizo ongaphezulu nokuqondanisa ngaphansi kokuzimela okuphezulu.

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Ishiya izethameli ezingezona ezesiNgisi nezingezona uchwepheshe ezinemithombo yekhwalithi ephansi kuphela.

Ukuqalisa Umhlahlandlela

1

Hlukanisa ukulimala komkhiqizo, ukusetshenziswa kabi, kanye nezingozi zokulahleka kokulawula / ukungahambi kahle.

Phatha lokhu njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

2

Buza ukuthi yibuphi ubufakazi obungashintsha umbono wakho ngemigqa yesikhathi nobukhulu.

Phatha lokhu njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

3

Uncamela imithombo eyinhloko nokuhlola okuphathekayo kunezicelo zokumaketha.

Phatha lokhu njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

4

Khomba indlela eyodwa yokwenza: umsebenzi, inqubomgomo, uxhaso, noma amakhono — hhayi nje ukuqwashisa.

Phatha lokhu njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Qhubeka Uhlole

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