I-Workshop Yokwakha Izinhlelo ze-AI Ezinemigomo
I-Workshop Yokusebenza Ngezandla Ngobuchwepheshe
I-workshop yokusebenza ngezandla ehlanganisa ukusebenziswa okusebenzayo kwezinhlaka zokuziphatha ze-AI, amasu okuhlola ukuchema, nezinqubo zokuthuthukisa ngokunomthwalo. Lesi siseshini esinzima esihlanganisa iziseko zethiyori nemithambo yokusebenza kwezwe langempela.
Imininingwane Yomcimbi
Usuku: Februwari 8, 2025 (ISonto Lesibili Lenyanga) Isikhathi: 09:00 - 16:00 (amahora ayi-7 ahlanganisa amakhefu) Indawo: Isakhiwo Se-Computer Science, UKZN Howard College Campus Ifomethi: I-workshop ngqo enamabhayisikobho okusebenza ngezandla Izidingo Eziphambili: Ulwazi lwe-Python programming olulinganiselwe Abahlanganyeli Abaningi: 40 (ukuqinisekisa ukunakwa komuntu ngamunye)
Uhlelo Losuku
09:00 - 09:30 Ukubhalisa Nokwamukela
- Ukuthola izinto zomsebenzi nezinsiza
- Ukuhlangana nochwepheshe abayingxenye
- Ukuhlela amabhayisikobho
09:30 - 10:30 Iseshini 1: Iziseko Zokuziphatha kwe-AI
- Imibandela yokuziphatha kwe-AI technology
- Izinhlaka ze-ethical AI zomhlaba wonke
- Isifundo se-Ubuntu philosophy ku-AI development
10:45 - 12:00 Iseshini 2: Ukuhlola Nokwelapha Ukuchema
- Amasu okuhlola bias ku-datasets
- Ukusebenza ngezandla nokuthola unfairness
- Izindlela zokunciphisa ukuchema ezinhlelweni
13:00 - 14:30 Iseshini 3: Ukusebenzisa Amalungelo
- Ukwakha izinhelo zokuziphatha ku-ML pipelines
- Ukuhlola izindlela zokubona impumelelo
- Ukwenza amacala asebenzayo ngezisamuli
14:45 - 16:00 Iseshini 4: Amacala Asebenzayo
- Ukuhlola izimo zangempela zezinkampani
- Ukwakha uhlelo lokuziphatha lweklasithi
- Ukubonisa nokwamukelwa kwemiphumela
Abafundisi
Dr. Sarah Mthembu - ETAIN Executive Director Uchwepheshe ku-ethical AI frameworks ne-responsible technology development
Prof. Michael Chen - UKZN Computer Science Ucwaningo ku-algorithmic fairness nezinhlelo zokunciphisa bias
Dr. Nomsa Ndlovu - Community Ethics Specialist Ukuhlanganisa ubuntu philosophy nezinqubo ze-AI development
Izinto Ezifundwayo
Izinto Zangempela Ozozikhipha:
- Amathuluzi okuhlola bias ku-datasets
- Izinhlaka ze-ethical AI assessment
- Amadocument omgomo we-organizational ethics
- Amaphrotokoli okubheka izinhlelo ze-AI
Izinsiza Zokulandelela:
- Access yama-toolkits nezinhlamvu
- Ukuxhumana nabafundisi izinyanga ezi-3
- Ukufinyelela ku-ETAIN ethics working group
Ukubhalisa
Imfundo Evamile: R350
- Hlanganisa izinto zonke zomsebenzi
- Ukudla emini nesidlo sasemini
- Amafayela nezinsiza zokuthuthukisa
Intengo Yabafundi: R150 (nge-ID yomfundi evumelekile)
- Inzuzo efanayo nemfundo evamile
- Indawo enezingxenye ezincane zokufunda
Lokho Okufakiwe:
- Zonke izinto zomsebenzi nezinhlamvu
- Ukudla emini namakhefu ekhofi
- Isetifiketi yokuphumelela
- Amafayela nemithombo yokuthuthukisa
Izinto Ozozidinga
Izinto Zekhompyutha:
- I-laptop ne-Python 3.8+ installed
- Ama-libraries asetshenziswayo: pandas, scikit-learn, fairlearn
- Access ku-GitHub account yokufaka amacala
- I-Wi-Fi eyongezwe (iyalingelwa)
Ulwazi Lwesisensi:
- Iziseko ze-Python programming
- Ukuqonda okulinganiselwe kwe-machine learning
- Isidingo sokufuna ukusebenza nge-AI ethics
Amacala Asebenzayo
Icala 1: Ukuhlola Bias Kwamasonto Hlukanisa ama-bias eresume screening algorithm futhi usebenzise amathuluzi okuwanqoba
Icala 2: Ukwakha Uhlelo Lwe-Fair Credit Scoring Yakha uhlelo lwe-credit scoring oluthathelela ubuntu na-fairness
Icala 3: Ukuphakamisa Healthcare AI Algorithm Hlola futhi uthuthukise uhlelo lwe-diagnostic AI ukuze luqinisekise fairness ngokwehluko
Ukuxhumana
Ukubhalisa: events@etain.org.za Imibuzo Ebuchwephesheni: ethics@etain.org.za Ukusizo Lwekhompyutha: tech-support@etain.org.za Ucingo: +27 31 123 4567
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