UNIVERSITY of NOTRE DAME

Kate Tokeley, The Power of the “Internet of things” to Mislead and Manipulate Consumers: A Regulatory Challenge, 2 Notre Dame J. Emerging Tech. 111 (2021).

The Power of the "Internet of things" to Mislead and Manipulate Consumers: A Regulatory Challenge

Article by Kate Tokeley

2. The LG Instaview ThinQ refrigerator is a smart fridge that already has the technology to order Amazon groceries via an Alexa command. LG LNXS30996D: InstaView ThinQTM Refrigerator, LG USA, https://www.lg.com/us/refrigerators/lg-LNXS30996D-door-in-door (last visited Jan. 29, 2021).

4. See Hidayet Aksu et al., Advertising in the IoT Era: Vision and Challenges, IEEE Comm. Mag. 138 (Nov. 2018) for a detailed example of the kinds of targeted advertising that passengers and drivers of smart cars might expect to receive in the future when entering a smart city.

6. “Wearables” is a category of hands-free IoT devices that are worn close to or on the skin. They can track personal information such as steps, sleep quality, heart rate, and distance covered. See, e.g., the activity tracker, Fitbit: Fitbit, Fitbit, https://www.fitbit.com/ (last visited Jan. 29, 2021). See also the Apple Watch, which tracks various information and also connects to the user’s iPhone to run apps, deliver notifications, send messages and make calls. Apple Watch, Apple, https://www.apple.com/watch/ (last visited Jan. 29, 2021).

8. See, e.g., the Nanit Plus Camera Smart Baby Monitor, which has a night-vision camera that hangs over a cot, using computer vision and AI deep-learning to monitor your baby’s sleep. Nanit Plus, NANIT, https://www.nanit.com/products/nanit-plus (last visited Jan. 29, 2021).

10. See Mikah Sargent, Best Smart Coffee Maker in 2021, IMORE (Dec. 6, 2020), https://www.imore.com/best-smart-coffee-maker.

12. John R. Delaney, The Best Smart Home Security Systems for 2021, PCMAG Australia (Jan. 9, 2021), https://au.pcmag.com/home-security/41818/the-best-smart-home-security-systems.

14. See David Nield, The Best Smart Home Systems 2021: Top Ecosystems Explained, The Ambient (Dec. 23, 2021), https://www.the-ambient.com/guides/smart-home-ecosystems-152

16. Health care technology has resulted in Charlie, a medical robot currently in experimentation at Bichat Hospital in France. See John Harris, Robots Could Solve the Social Care Crisis – but at What Price?, The Guardian (July 2, 2018, 1:00 PM), https://www.theguardian.com/commentisfree/2018/jul/02/robo-carers-human-principles-technology-care-crisis.

18. See ROBOTICS, AI AND THE FUTURE OF LAW (Marcelo Corrales et al. eds., 2018).

20. See Andrew Griffiths, How Paro the Robot Seal Is Being Used to Help UK Dementia Patients, The Guardian (July 8, 2014, 9:01 AM), https://www.theguardian.com/society/2014/jul/08/paro-robot-seal-dementia-patients-nhs-japan.

22. See Seung-min Park et al., A Mountable Toilet System for Personalized Health Monitoring via the Analysis of Excreta, 4 Nature Biomedical Engineering 624 (2020).

24. See, e.g., Steven I. Friedland, Drinking from the Fire Hose: How Massive Self-Surveillance from the Internet of Things Is Changing the Face of Privacy, 119 W. Va. L. Rev. 891 (2017); Kathryn McMahon, Tell the Smart House to Mind Its Own Business: Maintaining Privacy and Security in the Era of Smart Devices, 86 Fordham L. Rev. 2511 (2018); Andrew Guthrie Ferguson, The Smart Fourth Amendment, 102 Cornell L. Rev. 547 (2017); Terrell McSweeny, Consumer Protection in the Age of Connected Everything, 62 N.Y. L. Sch. L. Rev. 203 (2017) (discussing the challenges of privacy and data collection in an IoT environment); Andrew Guthrie Ferguson, The Internet of Things and the Fourth Amendment of Effects, 104 Calif. L. Rev. 805 (2016).

26. See Part II(C) infra.

28. Section 5 of the Federal Trade Commission Act (FTC Act) prohibits unfair or deceptive acts or practices in or affecting commerce. 15 U.S.C. § 45. The FTC interprets the phrase “unfair or deceptive acts” in section 5 as including representations, omissions, or practices that are likely to mislead the consumer. See FTC Policy Statement on Deception, Fed. Trade Comm’n (Oct. 14, 1983), https://www.ftc.gov/system/files/documents/public_statements/410531/831014deceptionstmt.pdf. Most states have adopted versions of the Uniform Deceptive Trade Practices Act (UDTPA), which prohibits deceptive trade practices and false advertising. E.g., in California, the law provides that the crime of false advertising occurs when “a person or company makes false or misleading statements to consumers about the nature of a product or service.” See Cal. Bus. & Prof. Code § 17500 (1999). Similarly, in Texas, the legislation provides that “false, misleading, or deceptive acts or practices in the conduct of any trade or commerce” are unlawful. Tex. Bus. & Com. Code, § 17.46 (effective Sept. 1, 2019).

The “Internet of Things” revolution is on its way, and with it comes an unprecedented risk of unregulated misleading marketing, and a dramatic increase in the power of personalized manipulative marketing. IoT is a term that refers to a growing network of internet-connected physical “smart” objects accumulating in our homes and cities. These include “smart” versions of traditional objects such as refrigerators, thermostats, watches, toys, light bulbs, cars, and Alexa-style digital assistants. The corporations who develop IoT are able to utilize a far greater depth of data than is possible from merely tracking our web browsing in regular online environments. They will be able to constantly collect and share real-time data from inbuilt IoT sensors and trackers such as microphones, cameras, GPS sensors, and temperature sensors. Artificial intelligence (AI) can be used to analyze this raw data in order to gain insights into consumer preferences and behavior, and deliver individualized marketing messages via our IoT devices. The persuasiveness of these marketing messages is likely to be further enhanced if future IoT household assistants are developed to have human-like mannerisms and appearances. This article explains how current laws that prohibit businesses from misleading and deceiving consumers will struggle to operate effectively in an IoT marketing landscape, where questions of who can be held liable, who should be held liable, what communication should be prohibited, and how to ensure enforcement, all become more complicated. It argues that current legal frameworks will need to be re-formulated in order to maintain the ability to prevent deceptive and misleading communication. It also tackles the wider question of whether legal frameworks should be re-formulated so as to add in protections against excessively manipulative marketing. The article points to several potential ways to achieve such re-formulations. Redesigning legal regimes to effectively protect consumers in a new IoT marketing landscape will no doubt be a challenge. The starting point is to confront the fact that there are genuinely difficult problems for which existing regulatory toolkits are ill-equipped to handle.

Introduction

In a not-so-far-off future, many of the objects that we interact with on a day-to-day basis will have internet-connected functionality and communicate with each other.1 Your smart fridge might tell you when you are low on butter and suggest a brand that it can order for you and have delivered to your door.2 It might one day ask you if you would like it to take care of all your grocery shopping based on its knowledge of your food preferences, health goals and the state of your fridge.3 Your smart mirror might advise you on what style of jeans will flatter your figure, and execute the purchase of these jeans at the sound of your spoken command. On a particularly hot day, your self-driving smart car might let you know that you are about to pass an ice cream shop. Or it might have eye-tracking sensors that detect that you are getting tired and tell you the coordinates of the nearest coffee shop.4

Collectively, these smart objects are known as “The Internet of Things” (IoT). In combination with artificial intelligence (AI) innovations, IoT is likely to open up unprecedented opportunities for businesses to collect and analyze consumer data and communicate directly with consumers.5 The development of IoT is already well underway in the form of items such as wearables,6 electric toothbrushes,7 baby monitors,8 thermostat systems,9 coffee machines,10 toys,11 and home security systems.12 Many homes now have voice-activated virtual assistants, such as Google Home and Amazon Echo that have internet connectivity and can be linked to other smart devices in the home.13 Interestingly, smartphones are not generally thought of as IoT devices themselves. Yet, they play a large role in IoT ecosystems, since most IoT devices can be controlled through an app on a smartphone.14

Looking further into the future, IoT objects may become more human-looking, express emotions, and communicate in a human-like way.15 This subset of IoTs is commonly referred to as robots and could undoubtably be used for a range of commercial communications. The future might be populated by robots that will function as caregivers,16 housekeepers, companions,17 and shop assistants.18 Robot financial advisors are already operating in the marketplace, helping consumers to make financial decisions, and so too are rudimentary robot waitresses.19 Robots can also be in animal form—there already exists a Japanese-made cuddly seal invented to soothe and engage people with Alzheimer’s.20

IoT devices have potential for doing much good in the world. They can increase convenience, enhance the quality of life, and even improve our health.21 Indeed, a disease-detecting smart toilet is currently under development22. The toilet can sense multiple signs of illness through automated urine and stool analysis.23

However, IoT also holds plenty of potential for consumer harm. Legal scholars examining the impact of IoT on consumers have thus far been concerned primarily with consumer harms related to privacy and data security.24 This article throws light onto a novel, but equally important, concern of the challenge of regulating consumer harm caused by misleading and excessively manipulative marketing in an era of pervasive IoT. This type of consumer harm already exists in the regular online world but will be greatly exacerbated in a world of ever-present IoT objects. IoT dramatically expands the times and places where it is possible for businesses to communicate to consumers and potentially mislead them.25 It also allows businesses to utilize and share a far greater depth of data than is possible from merely tracking our web browsing in regular online environments. Artificial intelligence (AI) can analyse the mass of real-time data collected from IoT systems in order to understand individual consumer behaviour and deliver targeted, persuasive marketing messages.26 The persuasion becomes more powerful if some of the IoT objects of the future begin to look more human-like, talk to us with a natural-sounding voice, display human-like mannerisms, express emotions, and mimic friendship.27 This article demonstrates where and why the current legal regimes that protect consumers from misinformation will struggle to operate effectively in a future of ubiquitous IoT. It also offers some suggestions for the way forward. Current laws prohibit a person from engaging in misleading or deceptive practices in commerce, or from using false advertising.28 In an IoT future there might not be a “person” doing the misleading (it could be a robot driven by black-box AI systems), and there might not be any obvious “advertising” (the messages might be delivered by a cuddly pet IoT dinosaur chatting to your child.) The communication might not even be “misleading” or “deceptive” so much as surreptitiously manipulative. For example, your IoT robot companion might seem like a friend; she might know how to push your emotional buttons, know your deepest desires and be able to automate your purchases by your mere utterance of assent. Currently, manipulation of this kind is not subject to any legal limits. In an IoT future, it is going to become increasingly difficult to identify who can be held liable under current laws and who should ideally be held liable. The new ways of marketing may also lead us to question what types of communication should be prohibited and raise issues as to how to effectively enforce laws. These “who,” “what,” and “how” questions are relevant worldwide, and no jurisdiction has yet fully identified the span of problems, let alone begun to reframe the laws to tackle them. The questions are of relevance to the regulation of regular internet advertising on our computers and smart phones. However, it makes sense to tackle the questions through the lens of a future envisioned IoT advertising environment where the seriousness and scale of the problems is likely to be so much greater. Much of this paper deals with problems that are difficult to predict exactly and are futuristic in nature. For that reason, the call for law change is not urgent. However, recognizing the problems and beginning to think about solutions is a vital first step. Part II of the article examines how IoT is likely to transform advertising and commercial communication. Part III gives an overview of the current legal approach to protecting consumers from being misled, deceived and manipulated. Parts IV to VI of the article examine the “who,” “what,” and “how” questions that arise when contemplating the challenges of regulating communication to consumers in an age of IoT. It also offers some tentative ideas for reformulating legal regimes to more readily meet these challenges.

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1. According to some predictions there will be over 30 billion connected devices on Earth by 2025. See Knud Lasse Lueth, State of the IoT 2018: Number of IoT Devices Now at 7B – Market Accelerating, IOT Analytics (Aug. 8, 2018), https://iot-analytics.com/state-of-the-iot-update-q1-q2-2018-number-of-iot-devices-now-7b/.

3. Amazon already provides technology that allows compatible smart appliances to monitor supplies of consumables such as ink and detergent and then automatically place an order when they run low. This Amazon service is called the Amazon Dash Replenishment. Amazon Dash Replenishment, Amazon, https://developer.amazon.com/en-US/alexa/dash-services (last visited Jan. 29, 2021).

5. Chips with Everything: How the World Will Change as Computers Spread into Everyday Objects, The Economist (Sept. 12, 2019), https://www.economist.com/leaders/2019/09/12/how-the-world-will-change-as-computers-spread-into-everyday-objects; Internet of Things is distinct from “artificial intelligence,” which is a combination of advanced algorithms, machine learning, and other emerging technologies that utilize raw data to achieve various outcomes. See POSSIBLE MINDS: TWENTY-FIVE WAYS OF LOOKING AT AI (John Brockman ed., 2019) for an exploration about what AI is and where it might be taking us.

7. See Nicole Van Zanten, 9 Smartest Electric Toothbrushes on the Market, Ideaing (May 12, 2019), https://ideaing.com/ideas/smartest-toothbrushes-on-the-market/. Smart toothbrushes combine a variety of sensors to track in real time how you brush your teeth. The data is synced to an app for both iOS and Android.

9. See, e.g., the Nest Learning Thermostat, which can be controlled from a smartphone and works with a multitude of other Nest products such as lightbulbs, heating, door locks, home security cameras, and dryers. Nest Learning Thermostat, Google Store, https://store.google.com/us/product/nest_learning_thermostat_3rd_gen (last visited Jan. 29, 2021).

11. See Marie-Helen Maras, 4 Ways “Internet of Things” Toys Endanger Children, Scientific American (May 10, 2018), https://www.scientificamerican.com/article/4-ways-internet-of-things-toys-endanger-children/ (“Such toys wirelessly connect with online databases to recognize voices and images, identifying children’s queries, commands and requests and responding to them”).

13. As this article is concerned with issues around misleading consumer information, it will focus on IoT devices intended for personal or household use, not those intended for business use. By the end of 2023, consumer spending on smart home systems is projected to rise to 157 billion U.S. dollars. Consumer Spending on Smart Home Systems Worldwide from 2014–2023, Statista (Aug. 27, 2020), https://www.statista.com/statistics/693303/smart-home-consumer-spending-worldwide/.

15. Several research groups are already producing prototypes of unnervingly life-like robots. See Celine Ge, Meet Jiajia, the Realistic ‘Robot Goddess’ Built by Chinese Researchers, S. China Morning Post (Apr. 18, 2016, 2:15 PM), https://www.scmp.com/news/china/society/article/1936834/meet-jiajia-realistic-robot-goddess-built-chinese-researchers (a robot named Jiajia built at the University of Science and Technology in China.) See also Geminoid HI-2, Hiroshi Ishiguro Lab., http://www.geminoid.jp/en/robots.html (last visited July 27, 2020) (a robot called Geminoid designed by Hiroshi Ishiguro at Osaka University in Japan.)

17. A companion robot for children called Moxie will be available on the market from Fall 2020. See Moxie, Embodied, https://embodied.com/products/moxie-reservation (last visited Jan. 29, 2021).

19. See Miriam Rozen, Why Robot Advisers Do Not Always Add Up, Fin. Times (Apr. 17, 2019); Amy Waitress, SERVICE ROBOTS, https://www.servicerobots.com/amy-waitress/ (last visited Jan. 29, 2021). In 2018, global sales of service robots rose nearly 60% from the previous year to 16.6 million robots, according to the International Federation of Robotics. Executive Summary World Robots 2019 Service Robots, INT’L FED’N OF ROBOTICS, https://ifr.org/downloads/press2018/Executive_Summary_WR_Service_Robots_2019.pdf (last visited Jan. 29, 2021).

21. In 2018, Apple launched a new “Movement Disorder API” IoT device, which allows Apple Watches to monitor Parkinson’s Disease symptoms. ResearchKit and CareKit, Apple, http://www.apple.com/researchkit/ (last visited Jan. 29, 2021). It might be possible one day to wear a smart device that has the capability to detect and inform you when a blood clot is about to cause a stroke. See Eunjeong Park et al., Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients, 19 J. Med. Internet Rsch. E120 (2017).

23. Id.

25. This future of pervasive connectivity has been described as the “third wave” of the internet. STEVE CASE, THE THIRD WAVE: AN ENTREPRENEUR’S VISION OF THE FUTURE 187 (2016). Case suggests that the first wave can be thought of as the years between 1985 and 1999 when the internet was built, and that the second wave was from 2000 to 2015 when the App economy and the mobile market flourished. The third wave is from 2016 onwards and encompasses the revolution of IoT. This period in the digital age has also been described as the fourth revolution. KLAUS SCHWAB, THE FOURTH INDUSTRIAL REVOLUTION (2016).

27. For further discussion on the topic of the persuasive power of human-like IoT robots, see infra notes 150–153 and accompanying text.

Article by Philip M. Nichols

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