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AI For Better Policy & Decision Intelligence
Decision-making and effective decision making are two key aspects of running smooth operations in any organisation. A recent Gartner survey reports that 65 per cent of the respondents say that the decisions they make are more complex now than just two years ago, with another 53 per cent admitting to face more pressure to explain or justify their decisions.
To better this process and make it more intelligent, technology enthusiasts have urged organisations (governments) to combine artificial intelligence (AI) techniques into the process for maximum flexibility and business differentiation.
“Decision intelligence promotes the sustainability of cross-organizational decisions by building models that use principles aimed at enhancing their traceability, replicability, relevance and trustworthiness,” reads a Gartner’s article on AI for better decision-making.
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To help different African governments instill better decision intelligence for more impactful data-driven decisions, Intel has partnered wit CIO Africa to host the inaugural eGov virtual Summit for Africa.
The summit is slated on the 14th and 15th October 2021 and will host the emerging Markets Director for Government and Education at Intel Corporation, Sven Beckmann, who will speak to the subject – Artificial Intelligence for decision and policy making in the government.
Register here to join.
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The aforementioned report details learning the elements that increase the complexity of decision ecosystems together with exploring how decision techniques are combined to address complex decisions, and discovering how decision modeling addresses the new decision-making challenges are some of the benefits of using artificial intelligence in decision making.
It further notes that decision intelligence promotes the sustainability of cross-organizational decisions by building models that use principles aimed at enhancing their traceability, replicability, relevance and trustworthiness.
AI is, however, not a risk-free option. BCG notes that its algorithms — the engines that generate intelligence out of raw data— can reinforce existing discriminatory practices, and its tools, such as facial recognition, can violate privacy protections.
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It says, “The solution to these shortcomings is to abide by the principles of what we call “responsible AI,” such as accountability, transparency, and fairness, rather than to abandon a capability with such potential.”
By nature, policymaking is a lengthy, and bureaucratic processes that is time-consuming to marshal evidence in support of proposed policies or decisions.
Join us on the 14th and 15th to learn how artificial intelligence can allow policy makers to generate more effective and targeted decisions and policies for better governance.