<translate> I facilitated the final section of the session, covering how we build AI models for under-resourced languages, particularly for Kiswahili. I spoke about the importance of the dataset in the model building process and how valuable it is for me as the developer to be involved and able to influence our data collection activities. We monitor and analyse our dataset regularly to ensure we are maintaining balance in the aspects that matter to us. These are age, gender, dialectvariant and accent, and they will go a long way in helping us ensure the resulting models to not exhibit bias towards individuals of different demographic groups. <swh>Niliwezesha sehemu ya mwisho ya kipindi, nikiangazia jinsi tunavyounda miundo ya AI kwa lugha zenye nyenzo ya chini, haswa kwa Kiswahili. Nilizungumza kuhusu umuhimu wa seti ya data katika mchakato wa ujenzi wa muundo na jinsi ilivyo thamani kwangu kama msanidi kuhusika na kuweza kushawishi shughuli zetu za ukusanyaji wa data. Tunafuatilia na kuchanganua seti zetu za data mara kwa mara ili kuhakikisha kwamba tunadumisha usawa katika vipengele ambavyo ni muhimu kwetu. Hivi ni umri, jinsia, lahaja na lafudhi, na vitatusaidia kwa kiasi kikubwa kuhakikisha mifano inayotokana na kutoonyesha upendeleo kwa watu binafsi wa vikundi tofauti vya idadi ya watu. 