<prompt> Nahana ka likotsi tse ka bang teng ho latela lintlha tse fanoeng.Sistimi e ncha ea bohlale ba maiketsetso e ntse e kengoa tšebetsong moleng oa tlhahiso ea indasteri ea likoloi.  <response>: Instruction in English: Infer potential risks given the information provided. . Response in English: 1. Job Losses: With the implementation of the new AI system, there is a possibility that automation may take over certain job roles, resulting in layoffs and rising unemployment in the industry.2. SecurityPrivacy Risks: Integrating AI systems into the production line often involves the collection of large amounts of data, which can expose the company to security and privacy risks if not handled properly. There is also the concern that AI systems could be vulnerable to hacking or cyber attacks, which could lead to a data breach.3. Initial Cost: The implementation of a new AI system can be costly, requiring a significant investment in hardware and software as well as training for employees. This could put financial pressure on the company, particularly if the results of implementing the AI system do not meet expectations.4. Integration Issues: Integrating a new AI system into an existing production line can be challenging, and could result in delays or disruptions in the manufacturing process.5. Technology Dependence: Once implemented, the company may become heavily reliant on the new AI system, increasing its vulnerability to technology failures or malfunctions, which could lead to downtime or production delays.6. Skills Gap: The introduction of the new AI system may require employees to learn new skills to operate and maintain it, and there may be a skills gap which could hinder the effective adoption of the technology.7. Limited Control: With the implementation of AI systems, there may be concerns about a loss of control over the production process and decision-making, as more tasks are handed over to machines. This could result in reduced human involvement and oversight in the production process. . Response in Sesotho: 1. Tahlehelo ea Mesebetsi: Ka ho kenya tšebetsong tsamaiso e ncha ea AI, ho na le monyetla oa hore othomathike e ka nka mesebetsi e itseng, e leng se bakang ho lelekoa mosebetsing le ho eketseha ha tlhokeho ea mesebetsi indastering. 2. Likotsi tsa Tšireletso Lekunutu: Ho kopanya mekhoa ea AI mocheng oa tlhahiso hangata ho kenyelletsa ho bokella lintlha tse ngata, tse ka pepesetsang khamphani likotsing tsa tsireletso le boinotšing haeba li sa sebetsanoe hantle. Hape ho na le ngongoreho ea hore litsamaiso tsa AI li ka ba kotsing ea ho hacking kapa litlhaselo tsa cyber, tse ka lebisang tlolong ea data. 3. Litšenyehelo tsa Pele: Ho kengoa tšebetsong ha mokhoa o mocha oa AI ho ka bitsa chelete e ngata, ho hloka matsete a bohlokoa ho hardware le software hammoho le koetliso ea basebetsi. Sena se ka beha khatello ea lichelete ho khampani, haholo-holo haeba liphello tsa ho kenya tsebetsong tsamaiso ea AI li sa finyelle litebello. 4. Mathata a ho Kopanya: Ho kopanya tsamaiso e ncha ea AI mocheng o teng oa tlhahiso ho ka ba phephetso, me ho ka baka tieho kapa tšitiso mosebetsing oa tlhahiso. 5. Ho itšetleha ka Theknoloji: Ha e se e kentsoe tsebetsong, khamphani e ka na ea itšetleha haholo ka tsamaiso e ncha ea AI, ea eketsa tsoaetso ea eona ea ho hlōleha ha theknoloji kapa ho se sebetse hantle, e leng se ka lebisang ho fokotseha kapa ho lieha ha tlhahiso. 6. Lekhalo la Tsebo: Ho kenyelletsoa ha mokhoa o mocha oa AI ho ka na ha hloka hore basebetsi ba ithute litsebo tse ncha tsa ho e sebetsa le ho e boloka, me ho ka na ha e-ba le lekhalo la litsebo le ka sitisang ho amoheloa ka katleho ha thekenoloji. 7. Taolo e Lekanyelitsoeng: Ka tsebetsong ea mekhoa ea AI, ho ka na ha e-ba le matšoenyeho mabapi le tahlehelo ea taolo holima tsebetso ea tlhahiso le ho etsa liqeto, kaha mesebetsi e mengata e fuoa mechine. Sena se ka fella ka ho fokotsa ho kenya letsoho ha batho le ho okamela tsebetsong ea tlhahiso. 