Middle East and Central Asia > Kyrgyz Republic

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Joshua Aslett
,
Stuart Hamilton
,
Ignacio Gonzalez
,
David Hadwick
, and
Michael A Hardy
This technical note provides an overview of current thinking on artificial intelligence (AI) in tax and customs administration. Written primarily for senior officials, the intent of the note is to provide an awareness of AI that can help inform decision making and planning. The note opens with an exploration of historic and ongoing AI developments. It then provides an overview of legal and ethical concerns, AI use cases, guidance on how to promote AI's responsible use, and logic for introducing AI use cases into an operational setting. The note closes by presenting a selection of questions being debated by experts. In its annexes, the note includes (1) an example of an AI policy; (2) references to help develop AI strategy; and (3) methodology to risk assess AI use cases.
Mr. Emil M Sunley
and
Ms. Victoria J Perry
Since the dissolution of the Soviet Union at the end of 1991, Russia and the other countries which were members of the USSR have adopted value-added taxes. The value-added tax now provides a very significant portion of total tax revenue in all of these countries. Ideally, the value-added tax will serve as a relatively efficient, neutral, revenue source at the national level. The Russian value-added tax, however, contains a number of unique provisions, reflected in the laws of many of the other transition countries, which cause it to fall short of this standard. These countries also must decide how their value-added taxes are to apply to trade among themselves. This paper describes several of the provisions unique to the Russian value-added tax and analyzes their probable effects. It then discusses the development of arrangements which have evolved to date with respect to applying the value-added tax to trade among the transition countries, and suggests possible answers to the vexing questions raised by this issue.