<prompt> Ngola mehlala e mehlano ea mathata a boitšoaro ao sehlahisoa se thehiloeng ho AI se ka tobanang le ona.nan  <response>: Instruction in English: List five examples of ethical dilemmas that a AI-based product may face. . Response in English: 1. Data privacy: AI products may have access to quantities of personal user information. The dilemma arises when that information can be sold for profit, or shared with unauthorized parties. The ethical issue is how to balance the rights of users to keep their information private, against the potential benefits that may arise from sharing that information.2. Algorithmic bias: AI algorithms can be trained on historical data, which may contain inherent biases. When these biases are propagated into the AI products decision-making, it may inadvertently discriminate against certain groups of people. The dilemma is how to eliminate or minimize these biases, while ensuring that the AI product still performs well.3. Job displacement: AI systems are increasingly being used to automate manual or repetitive tasks. While this can boost efficiency and cost savings, it may also lead to significant job loss in certain sectors. The ethical issue is how to balance the benefits of AI automation with the potential harm to those who may lose their jobs.4. Autonomous decision making: As AI systems become more advanced, they may be granted more autonomy in making decisions. However, these decisions may not always align with human values, and may have unforeseen consequences. The ethical dilemma is how to ensure that AI systems make decisions that align with human values and ethics.5. Military applications: AI technology is increasingly being used in military applications, such as autonomous drones and weapons systems. The ethical issue is how to balance the potential benefits of AI in terms of national security, with the potential harm that may arise from these systems being used in warfare. . Response in Sesotho: 1. Lekunutu la data: Lihlahisoa tsa AI li kanna tsa fihlella bongata ba lintlha tsa mosebelisi. Bothata bo hlaha ha boitsebiso boo bo ka rekisoa bakeng sa phaello, kapa ho arolelanoa le lihlopha tse sa lumelloeng. Taba ea melao ea boitšoaro ke mokhoa oa ho leka-lekanya litokelo tsa basebelisi ho boloka boitsebiso ba bona e le lekunutu, khahlanong le melemo e ka hlahang ka ho arolelana tlhahisoleseding eo. 2. Algorithmic bias: AI algorithms e ka koetlisoa ho data ea nalane, e ka bang le leeme la tlhaho. Ha litšekamelo tsena li fetisetsoa ho etsa liqeto tsa sehlahisoa sa AI, se ka khetholla lihlopha tse itseng tsa batho ntle le morero. Bothata ke mokhoa oa ho felisa kapa ho fokotsa leeme lena, ha o ntse o netefatsa hore sehlahisoa sa AI se ntse se sebetsa hantle. 3. Ho falla mosebetsing: Litsamaiso tsa AI li ntse li sebelisoa haholo ho iketsetsa mesebetsi ea matsoho kapa e pheta-phetoang. Leha sena se ka eketsa tsebetso le ho boloka litšenyehelo, se ka lebisa tahlehelong e kholo ea mesebetsi makaleng a itseng. Taba ea boitšoaro ke mokhoa oa ho leka-lekanya melemo ea automation ea AI le kotsi e ka bang teng ho ba ka lahleheloang ke mesebetsi. 4. Ho etsa liqeto ka boikemelo: Ha litsamaiso tsa AI li ntse li hatela pele, li ka fuoa boipuso bo eketsehileng ba ho etsa liqeto. Leha ho le joalo, liqeto tsena li ka na tsa se ke tsa lumellana kamehla le litekanyetso tsa batho, me li ka na tsa e-ba le liphello tse sa lebelloang. Bothata ba boitšoaro ke mokhoa oa ho netefatsa hore litsamaiso tsa AI li etsa liqeto tse tsamaellanang le litekanyetso le melao ea boitšoaro ea batho. 5. Litsebetso tsa sesole: Theknoloji ea AI e ntse e sebelisoa haholo litsebetsong tsa sesole, joalo ka li-drones tse ikemetseng le lisebelisoa tsa libetsa. Taba ea boitšoaro ke mokhoa oa ho leka-lekanya melemo e ka bang teng ea AI mabapi le tsireletso ea naha, ka kotsi e ka hlahang ho tsoa litsebetsong tsena tse sebelisoang ntoeng. 