<prompt> Hlalosa liqholotso tse kholo ka ho fetisisa tseo litsebi tsa AI li tobaneng le tsonanan  <response>: Instruction in English: Identify the biggest challenges faced by AI experts . Response in English: There are several challenges that AI experts face when developing and implementing AI technologies. Some of these challenges include:1. Explainability: One of the biggest challenges faced by AI experts is the ability to explain how AI systems make decisions. The black box nature of some AI algorithms such as deep learning systems makes it difficult to understand how the system arrived at its output. This lack of transparency can be a major issue, especially in applications where accountability is important.2. Data quality: AI systems rely heavily on data to learn and function, but obtaining high-quality data can be a challenge. The data used to train AI systems must be accurately labelled, diverse, and free from bias. Ensuring data quality requires significant time and resources, and is a major challenge for AI experts.3. Ethical concerns: As AI technologies continue to advance and become more integrated into our lives, many ethical concerns arise, such as privacy, bias, and fairness. AI experts must constantly navigate these ethical concerns and ensure that the AI systems they develop align with societys values and expectations.4. Technical limitations: Despite the rapid progress in AI, there are still many technical limitations that experts must overcome. For example, developing AI systems that can understand and interpret human language and emotions is still a challenge. Additionally, creating systems that can reason and make decisions in complex real-world scenarios is an ongoing challenge.5. Computational resources: Training large AI models and running complex AI systems requires a significant amount of computational resources, which can be expensive and difficult to access. Additionally, the energy consumption and environmental impact of running these systems is an ongoing concern.Overall, AI experts face a wide range of challenges when developing and implementing AI technologies. These challenges require constant innovation, collaboration, and careful consideration to overcome. . Response in Sesotho: Ho na le liqholotso tse maloa tseo litsebi tsa AI li tobanang le tsona ha li ntsetsapele le ho kenya tsebetsong mahlale a AI. Tse ling tsa liqholotso tsena li kenyeletsa: 1. Tlhaloso: E ngoe ea liqholotso tse kholo ka ho fetisisa tseo litsebi tsa AI li tobaneng le tsona ke bokhoni ba ho hlalosa hore na mekhoa ea AI e etsa liqeto joang. Sebopeho sa lebokose le letšo la li-algorithms tse ling tsa AI joalo ka litsamaiso tse tebileng tsa ho ithuta li etsa hore ho be thata ho utloisisa hore na sistimi e fihlile joang tlhahisong ea eona. Ho hloka pepenene hona e ka ba taba e kholo, haholo litsebetsong moo boikarabello bo leng bohlokoa. 2. Boleng ba data: Mekhoa ea AI e itšetlehile haholo ka boitsebiso ho ithuta le ho sebetsa, empa ho fumana lintlha tsa boleng bo phahameng ho ka ba phephetso. Lintlha tse sebelisoang ho koetlisa litsamaiso tsa AI li tlameha ho ngoloa ka nepo, li fapane, me li se na leeme. Ho netefatsa boleng ba data ho hloka nako le lisebelisoa tse kholo, me ke phephetso e kholo ho litsebi tsa AI. 3. Matšoenyeho a Boitšoaro: Ha theknoloji ea AI e ntse e tsoela pele le ho kenella bophelong ba rona, ho hlaha mathata a mangata a boitšoaro, joalo ka boinotši, leeme, le toka. Litsebi tsa AI li tlameha ho lula li shebana le mathata ana a boitšoaro le ho netefatsa hore litsamaiso tsa AI tseo li li ntlafatsang li lumellana le litekanyetso le litebello tsa sechaba. 4. Mefokolo ea tekheniki: Ho sa tsotellehe tsoelo-pele e potlakileng ho AI, ho ntse ho e-na le mefokolo e mengata ea tekheniki eo litsebi li lokelang ho e hlōla. Ka mohlala, ho hlahisa mekhoa ea AI e ka utloisisang le ho hlalosa puo le maikutlo a batho e ntse e le phephetso. Ho feta moo, ho theha litsebetso tse ka behang mabaka le ho etsa liqeto maemong a thata a lefatse ke phephetso e tsoelang pele. 5. Lisebelisoa tsa computational: Ho koetlisa mehlala e meholo ea AI le ho tsamaisa mekhoa e rarahaneng ea AI ho hloka palo e kholo ea lisebelisoa tsa computational, tse ka bitsang chelete e ngata me ho thata ho li fumana. Ho feta moo, tšebeliso ea matla le tšusumetso ea tikoloho ea ho tsamaisa litsamaiso tsena ke taba e ntseng e tsoela pele. Ka kakaretso, litsebi tsa AI li tobane le liqholotso tse fapaneng ha li ntsetsapele le ho kenya tsebetsong mahlale a AI. Liqholotso tsena li hloka boqapi bo sa feleng, tšebelisano moho, le ho nahaneloa ka hloko ho hlola. 