Airheads, we have an update to the terminology we use daily. The shift is intended to do away with the unintentional insensitive terms we have been using for years.
When Aruba was founded nearly 20 years ago, it was built on core values like Customer First, Customer Last where everything we do starts and ends with our customers; breaking the norms to be unconventional and innovative by changing the rules of networking; and being the biggest small company where we treat our customers and employees like family while remaining nimble and ahead of market shifts. These are values that we live and breathe every day, behind which are our beliefs centered on empathy, inclusion and diversity.
With this in mind and as part of our commitment to a proactive approach for inclusion, diversity and equitable opportunity for all team members, we are changing some of the language used in networking technology. The team has researched insensitive terms, suggested alternatives including IETF input, and solicited input from Diversity leadership at HPE.
Moving forward, Aruba will replace racially insensitive terms and instead use the following new language:
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Usage
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Old Language
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New Language
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Campus Access Points + Controllers
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Master-Slave
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Conductor-Member
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Instant Access Points
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Master-Slave
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Conductor-Member
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Switch Stack
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Master-Slave
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Conductor-Member
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Wireless LAN Controller
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Mobility Master
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Mobility Conductor
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Firewall Configuration
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Blacklist, Whitelist
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Denylist, Allowlist
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Types of Hackers
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Black Hat, White Hat
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Unethical, Ethical
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Disclaimer on site, General:
A core value of Aruba and HPE is to be a force for good. Part of that is being inclusive, and the words we use play a big part. We are in the process of updating terms and product names to remove words that may be considered offensive or not inclusive. As we update product terminology, you may notice updates on this site.
Disclaimer for Posting:
Aruba believes in being unconditionally inclusive. We must be considerate of all people in our posts, making sure the language is free of discrimination, bias, and stereotypes.