  A relatively new bias-related conflict for SECs has recently surfaced in connection with “voice search,” which is becoming increasingly popular with users of mobile devices. Barysevich (2016) notes that voice search is the “fastest growing type of search,” pointing to statistics in the U.S.showing that 55% of teenagers and approximately 40% of adults use this mode of search on a daily basis.  Why are users’ searches trending in the direction of voice versus (“traditional”) text? Hawkins (2017, Other Internet Resources) offers two reasons: (a) voice search is faster than text, since most people also tend to speak much more quickly than they type; and (b) voice search is hands-free, which is convenient for people using mobile devices. Given Google’s preeminence – and some might even say its “dominance” – in the online “search industry” to date, one might assume that Google has also been the lead player in the emerging area of voice search. But Hawkins points out that Bing has had an edge over Google in the voice-search market thus far. He attributes this to the fact that Apple’s Siri, Microsoft’s Cortana, and Amazon’s Alexa – three of the four major “virtual assistants” on the market – use Bing for their searches. Of course, one might well expect that Microsoft’s voice-assistant applications would direct its users’ searches to Bing, and that Google’s voice assistants would do likewise in directing users to its search engine. But one could also question whether voice-search users, especially of products/services other than Microsoft’s and Google’s, should be given an explicit option to set default voice-search requests on their devices to a specific search engine of their choice?  Otherwise, companies like Amazon and Apple could be perceived as biased because of their tilting, even if unintentionally, the voice-search market toward Bing (and away from Google)? However, since Google has already cornered so much of the existing search and search-related markets, it might be difficult for us to view that SEC as somehow itself a victim of (search) bias.