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Master Services and Purchasing Agreement
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<br /> Title: Master Services and Purchasing Agreement between Axon and Agency
<br /> Department: Legal
<br /> Version: 12.0
<br /> Release Date: 12/18/2020 Page 10 of 49
<br />Axon Customer Experience Improvement Program Appendix
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<br />1 Axon Customer Experience Improvement Program (ACEIP). The ACEIP is designed to
<br />accelerate Axon’s development of technology, such as building and supporting automated features,
<br />to ultimately increase safety within communities and drive efficiency in public safety. To this end,
<br />subject to the limitations on Axon as described below, Axon, where allowed by law, may make
<br />limited use of Agency Content from all of its customers, to provide, develop, improve, and support
<br />current and future Axon products (collectively, “ACEIP Purposes”). However, at all times, Axon
<br />will comply with its obligations pursuant to the Axon Cloud Services Terms of Use Appendix to
<br />maintain a comprehensive data security program (including compliance with the CJIS Security
<br />Policy for Criminal Justice Information), privacy program, and data governance policy, including
<br />high industry standards of de-identifying Personal Data, to enforce its security and privacy
<br />obligations for the ACEIP. ACEIP has 2 tiers of participation, Tier 1 and Tier 2. By default, Agency
<br />will be a participant in ACEIP Tier 1. If Agency does not want to participate in ACEIP Tier 1, Agency
<br />can revoke its consent at any time. If Agency wants to participate in Tier 2, as detailed below,
<br />Agency can check the ACEIP Tier 2 box below. If Agency does not want to participate in ACEIP
<br />Tier 2, Agency should leave box unchecked. At any time, Agency may revoke its consent to ACEIP
<br />Tier 1, Tier 2, or both Tiers.
<br />1.1 ACEIP Tier 1.
<br />1.1.1. When Axon uses Agency Content for the ACEIP Purposes, Axon will extract
<br />from Agency Content and may store separately copies of certain segments or
<br />elements of the Agency Content (collectively, “ACEIP Content”). When
<br />extracting ACEIP Content, Axon will use commercially reasonable efforts to
<br />aggregate, transform or de-identify Agency Content so that the extracted
<br />ACEIP Content is no longer reasonably capable of being associated with, or
<br />could reasonably be linked directly or indirectly to a particular individual
<br />(“Privacy Preserving Technique(s)”). For illustrative purposes, some
<br />examples are described in footnote 11. For clarity, ACEIP Content will still be
<br />linked indirectly, with an attribution, to the Agency from which it was extracted.
<br />This attribution will be stored separately from the data itself, but is necessary
<br />for and will be solely used to enable Axon to identify and delete all ACEIP
<br />Content upon Agency request. Once de-identified, ACEIP Content may then be
<br />further modified, analyzed, and used to create derivative works. At any time,
<br />Agency may revoke the consent granted herein to Axon to access and use
<br />Agency Content for ACEIP Purposes. Within 30 days of receiving the Agency’s
<br />request, Axon will no longer access or use Agency Content for ACEIP Purposes
<br />and will delete any and all ACEIP Content. Axon will also delete any derivative
<br />works which may reasonably be capable of being associated with, or could
<br />reasonably be linked directly or indirectly to Agency. In addition, if Axon uses
<br />Agency Content for the ACEIP Purposes, upon request, Axon will make
<br />available to Agency a list of the specific type of Agency Content being used to
<br />generate ACEIP Content, the purpose of such use, and the retention, privacy
<br />preserving extraction technique, and relevant data protection practices
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<br />1 For example; (a) when extracting specific text to improve automated transcription capabilities, text that could be used
<br />to directly identify a particular individual would not be extracted, and extracted text would be disassociated from
<br />identifying metadata of any speakers, and the extracted text would be split into individual words and aggregated with
<br />other data sources (including publicly available data) to remove any reasonable ability to link any specific text directly
<br />or indirectly back to a particular individual; (b) when extracting license plate data to improve Automated License Plate
<br />Recognition (ALPR) capabilities, individual license plate characters would be extracted and disassociated from each
<br />other so a complete plate could not be reconstituted, and all association to other elements of the source video, such
<br />as the vehicle, location, time, and the surrounding environment would also be removed; (c) when extracting audio of
<br />potential acoustic events (such as glass breaking or gun shots), very short segments (<1 second) of audio that only
<br />contains the likely acoustic events would be extracted and all human utterances would be removed.
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