Turner v. Microsoft Corporation

District Court, N.D. California·Decided May 28, 2024·No. 4:22-cv-05827·Unknown

Opinion

DANA TURNER, et al., Case No. 22-cv-05827-DMR

Plaintiffs, ORDER v. Re: Dkt. No. 49 Defendant.

This action began with two separately-filed putative class actions in which three named plaintiffs alleged that Defendant Nuance Communications, Inc. (“Nuance”) violated the California Invasion of Privacy Act (“CIPA”). The court consolidated the matters on May 31, 2023 and Plaintiffs subsequently filed a consolidated amended class action complaint. [Docket No. 34 (“CFAC”).] Nuance moves to dismiss the CFAC for failure to state a claim under Federal Rule of Civil Procedure 12(b)(6). [Docket No. 49 (“Mot.”).] The court held a hearing on April 11, 2024. For the following reasons, the motion is granted in part and denied in part. Plaintiffs make the following allegations in the CFAC, all of which are taken as true for purposes of the motion to dismiss.1 Nuance “markets and provides an artificial intelligence software-as-a-service that allows businesses to authenticate their customers’ identities with their voice,” called “Gatekeeper.” CFAC ¶ 1. Gatekeeper is a voice recognition software which “records a consumer’s voice, creates a biometric voice print of the caller, and then examines that voiceprint to determine whether the caller is a potential fraudster in future calls, and—above all— 1 When reviewing a motion to dismiss for failure to state a claim, the court must “accept as true all of the factual allegations contained in the complaint.” Erickson v. Pardus, 551 U.S. 89, 94 (2007) to determine whether the caller is telling the truth when identifying themselves and attempting to gain access to their customer account.” Id. at ¶ 4. Businesses can license Gatekeeper and integrate it into their call centers to verify callers’ identities. Id. at ¶¶ 5, 27. Nuance’s marketing describes its Gatekeeper product as an “AI Risk Engine” which uses “[d]eep neural networks” to “analyze biometric, non-biometric, and other available data to make intelligent authentication and fraud risk assessments.” Id. at ¶ 31. Plaintiffs allege that Nuance “analyzes ‘more than 1,000 characteristics’ of a person’s unique voice, such as the sound of a person’s voice, how they talk, what they say, their pattern of speech, word choice, grammar, and syntax.” Id. at ¶ 2. Nuance can “authenticat[e] individuals by the way they talk . . . and flag[] potential bad actors in as quick as half a second.” Id. at ¶ 28. Nuance’s technology works by creating a voice print for each consumer derived from a recording and examination of the consumer’s voice, enrolling those voice prints into a database, and then comparing the voice characteristics of later callers against its saved voice prints. Id. at ¶ 29. A voice print serves as an audible “fingerprint” which can “directly identify an individual.” Id. at ¶ 22. Plaintiffs allege that, by “segment[ing]” and “cluster[ing]” voices and metadata from prior callers, “Nuance turns individuals’ personal biometric data into a product offering for corporate clients.” Id. at ¶ 30. Plaintiffs assert that Nuance has “amassed a massive database” of individuals’ voice prints and retains that biometric data for “a significant period of time.” Id. at ¶¶ 32-33. Plaintiffs claim that Nuance creates voice prints without the consumer’s “knowledge or express written consent.” Id. at ¶ 37. Nuance’s software “seamlessly incorporates into its customers’ call centers, without adequate notice (or any at all) that Nuance . . . is even involved in the call.” Id. Plaintiffs allege that Nuance “listens to the consumer’s voice quietly in the background of a call, and in such a way that consumers will likely be entirely unaware they are unknowingly interacting with a third-party company.” Id. at ¶ 3. According to Plaintiffs, Nuance’s voice recognition service exposes customers to significant risks. For example, Plaintiffs state that voices are highly personal and can reveal sensitive information about an individual’s mental state and behaviors. Id. at ¶ 6. They also aver that artificial intelligence is “extremely susceptible to racial and gender bias,” and that voice examination technology has been known to mistakenly classify legitimate customers as fraudsters based on their voice, locking them out of their accounts and finances. Id. at ¶¶ 34-35. In addition, they allege that Nuance’s system can be “easily fooled” by fraudsters, such as by using a free online AI voice cloning service with an audio recording of a person’s voice. Id. at ¶ 36. Plaintiff Turner called Chase’s customer support call center on numerous occasions, including most recently in October 2022. Id. at ¶ 44. Turner alleges that she reasonably expected her conversation with Chase to be confidential because Chase was a banking entity, “which naturally involves the discussion of confidential information,” and because Turner spoke to Chase on her personal telephone and not in the direct presence of others. Id. at ¶ 45. During the call with Chase, Turner was asked to make various “yes” or “no” statements in order to respond to questions Chase asked her, or to otherwise provide additional information to Chase. Id. at ¶ 46. Unbeknownst to Turner, her call was recorded by Nuance’s technology, which created a voice print for Turner and automatically enrolled her voice print in Nuance’s biometric voice print database. Id. at ¶¶ 47-48. Turner asserts that she did not give her consent, written or otherwise, to “allow Nuance to wiretap her confidential communications with Chase.” Id. at ¶ 50-51. Plaintiffs Smith and Youshei allege similar facts. They both called Chase’s customer support call center multiple times during the past three years. Id. at ¶¶ 54, 63. They allege that they reasonably expected their conversations with Chase to be confidential. Id. at ¶¶ 55, 64. However, their calls were recorded by Gatekeeper, which created a voice print for each Plaintiff and automatically enrolled the voice prints in Nuance’s biometric voice print database. Id. at ¶¶ 57, 66. Neither Nuance nor Chase disclosed to Plaintiffs that their voices were being recorded or analyzed by Nuance to make a voice print, nor that their voice prints were being enrolled in Nuance’s voice print database. Id. at ¶¶ 59, 68. Plaintiffs Smith and Youshei allege that they did not consent to Nuance “collect[ing] [their] voice print[s] and to examine, record, wiretap, or analyze [their] voice[s] for any purpose whatsoever.” Id. at ¶¶ 60, 69. Plaintiffs assert that Nuance violated Cal. Penal Code §§ 631(a), 632(a), and 637.3. They seek to represent a statewide class of similarly situated individuals, defined as: “All residents of the State of California who had their voice prints, voice stress patterns, or other elements of their conversation recorded and examined by Nuance without first obtaining prior written consent.” CFAC ¶ 72. Plaintiffs seek declarative relief, injunctive relief, and damages. Id. at 10. Turner brought a putative class action on October 6, 2022. [Docket No. 1.] Turner filed a first amended class action complaint on January 9, 2023. [Docket No. 19.] Smith and Youshei also brought a putative class action, which the court related to Turner’s case on March 30, 2023. [Docket No. 27.] The cases were subsequently consolidated on May 31, 2023. [Docket No. 33.] Plaintiffs filed the CFAC on June 14, 2023. Nuance now moves to dismiss the CFAC. A motion to dismiss under Rule 12(b)(6) tests the legal sufficiency of the claims alleged in the complaint. See Parks Sch. of Bus., Inc. v. Symington, 51 F.3d 1480, 1484 (9th Cir. 1995). When reviewing a motion to dismiss for failure to state a claim, the court must “accept as true all of the factual allegatio

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