<prompt> Thathamisa liqholotso tse hlano tse kileng tsa tobana le tsona ha ho ne ho leka ho hlahisa litsamaiso tsa mahlale a maiketsetso.nan  <response>: Instruction in English: List five challenges that have been faced when trying to develop artificial intelligence systems. . Response in English: Here are five major challenges that have been faced when trying to develop artificial intelligence systems:1. Algorithmic Bias and Fairness: One major challenge in developing artificial intelligence systems is ensuring that the resulting models and decisions made by the AI are fair and unbiased. Algorithmic bias can occur when data used to train machine learning algorithms reflect the biases or prejudices of the humans who collect or label them, leading to unfair or inaccurate predictions.2. Data Quality: Artificial intelligence systems rely on large amounts of data for training and making decisions. The quality and accuracy of this data is crucial in determining the performance of the AI system. Ensuring data quality is a major challenge, particularly when dealing with unstructured, noisy or incomplete data sets.3. Computational Power: Many AI algorithms and models, particularly deep learning models, require significant computational power to train and make predictions. Providing the necessary computational resources to support the development and deployment of these models can be a challenge, particularly for smaller organizations.4. Explainability and Interpretability: Artificial intelligence systems often produce results or make decisions that are difficult for humans to understand or interpret. This lack of transparency can lead to distrust or skepticism towards the AI system. Ensuring that AI systems are explainable and interpretable, and can provide insights into how decisions were made is a major challenge.5. Ethics and Regulation: The development and deployment of artificial intelligence systems raises a host of ethical and regulatory issues. Ensuring that AI systems are developed and used in a way that is ethical, transparent, and abides by relevant laws and regulations is a significant challenge. . Response in Sesotho: Mona ke liqholotso tse hlano tse kholo tse nileng tsa tobana le tsona ha ho ne ho leka ho hlahisa mekhoa ea bohlale ba maiketsetso: 1. Leeme la Algorithmic le Ho Loka: Phephetso e ngoe e kholo ea ho hlahisa mekhoa ea bohlale ba maiketsetso ke ho netefatsa hore mehlala le liqeto tse entsoeng ke AI li lokile ebile ha li na leeme. Algorithmic bias e ka etsahala ha data e sebelisoang ho koetlisa mekhoa ea ho ithuta ka mochini e bontsa leeme kapa khethollo ea batho ba e bokellang kapa ba e tšoaeang, e lebisang ho likhakanyo tse sa nepahalang kapa tse sa nepahalang. 2. Boleng ba Boitsebiso: Mekhoa ea bohlale ba maiketsetso e itšetlehile ka boitsebiso bo bongata bakeng sa koetliso le ho etsa liqeto. Boleng le ho nepahala ha data ena ke tsa bohlokoa ho khethollang tsebetso ea tsamaiso ea AI. Ho netefatsa boleng ba data ke phephetso e kholo, haholo ha o sebetsana le li-data tse sa hlophisoang, tse lerata kapa tse sa fellang. 3. Matla a Khomphutha: Mekhoa le mehlala e mengata ea AI, haholo-holo mefuta e tebileng ea ho ithuta, e hloka matla a maholo a khomphutha ho koetlisa le ho etsa likhakanyo. Ho fana ka lisebelisoa tse hlokahalang tsa computational ho tšehetsa ntsetsopele le ho tsamaisoa ha mefuta ena e ka ba phephetso, haholo-holo mekhatlong e menyenyane. 4. Tlhaloso le ho Hlalosoa: Litsamaiso tsa bohlale ba maiketsetso hangata li hlahisa litholoana kapa ho etsa liqeto tseo ho leng thata ho batho ho li utloisisa kapa ho li hlalosa. Ho hloka pepenene hona ho ka lebisa ho se tšepe kapa ho belaela ho sistimi ea AI. Ho netefatsa hore litsamaiso tsa AI lia hlalosoa ebile lia toloka, me li ka fana ka leseli la hore na liqeto li entsoe joang ke phephetso e kholo. 5. Melao ea Boitšoaro le Melawana: Ntlafatso le phano ea litsamaiso tsa mahlale a maiketsetso li hlahisa litaba tse ngata tsa boitšoaro le taolo. Ho netefatsa hore litsamaiso tsa AI lia ntlafatsoa le ho sebelisoa ka tsela e nang le boitšoaro, e pepeneneng, le ho latela melao le melawana e amehang ke phephetso e kholo. 