With all the hubbub about AI, business leaders may be tempted to dive into the technology but care is required.
We’ve now reached a stage where individual businesses are harnessing the capabilities of large language models and deploying these models into their own solutions. Whereas ChatGPT uses a wide range of sources, bespoke artificial intelligence platforms can be trained on specific data to assist in business processes and operations.“Responsible AI involves integrating privacy, security, inclusivity, transparency, and accountability from the outset. AI is not purely a technology.
“The local regulatory environment must still catch up with AI. At the moment, AI adoption is faster than any of the previous phases of big disruption in the industry – and currently there is no set of comprehensive legislation to govern the adoption and use of AI and machine learning in the country.
Moreover, the implementation of AI needs to be driven by level heads. We’ve seen time and time again how biased training data can impact groups of people when they are placed before AI-driven systems.notes, “While the benefits are great, the potentially discriminatory impact of machine learning necessitates careful oversight and further technical research into the dangers of encoded bias, or undue opacity in automated decisions.
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