ΑΙhub.org
 

The AI pretenders


by
27 May 2022



share this:
voice assistant

By , , and

Tech and start-up companies providing ‘artificial intelligence’ (or AI) products can be divided by the degree to which their devices either replicate or distinguish themselves from humans.

Some interactive AI products deliberately adopt the persona of a children’s book robot. Other tech companies are on a quest to make robots more lifelike and interactions with virtual bots more naturalistic or ‘seamless’.

But should they really be doing this?

Most modern robot ethics state that machines shouldn’t mislead humans about their identity. Bots resembling humans may contain formal or fine print disclosures of their identity but if the overall effect is lifelike, it’s questionable whether these disclaimers have any real effect.

Like privacy policies, most people may not read or understand them, and they may not be tailored to different users like consumers with disability or older people.

But why are we concerned about robots and virtual bots pretending to be human, or human like?

From an ethical perspective, misleading people is almost always problematic because it involves treating them as means to another person’s ends. In the context of bot representing itself as human, the risk is that people who are misled give away more information and are more trusting than they should be.

So does that mean that a greater degree of ‘friction’ in the human-machine relationship – where the person is in no doubt they are interacting with AI – makes it safer?

We all probably know that Alexa the digital assistant isn’t real. But a lot of effort goes into making the voice of Alexa and its equivalents naturalistic – but not too naturalistic say the tech companies.

This is clearly successful on some level as Alexa apparently gets proposals of marriage, which it politely refuses. And much of the advertising for Alexa plays with the idea of what it (or she) would look like in human form.

We still don’t know enough about the influence humanistic bots may have on human trust. Nonetheless, there are concerns that the combination of the device’s friendliness combined with a person’s lack of knowledge about how it is set up, controlled and operated, may leave some consumers giving away more information than they should.

This concern is especially pertinent when it comes to data privacy and cyber security. If users don’t understand the limits of the device, they simply may not take the precautions needed to protect themselves.

Many people are unsure about how digital assistants are set up, controlled and operated.

We recently conducted a survey of 1,000 Australians about their use of digital assistants and concerns they do (or don’t) have when using these devices. We’re still in the early stages of analysing the results but there are already some interesting insights.

Just over half of respondents reported using a digital assistant or smart speaker frequently or occasionally, and that privacy concerns are a live issue for consumers.

Of the people who said they don’t use a digital assistant, just under 30 per cent said that one of the reasons for this was concerns about their privacy.

Almost 30 per cent of people who don’t use a digital assistant avoid them over privacy concerns.

Of respondents who did occasionally or frequently use a digital device, almost one third were moderately concerned, and almost a quarter were either very or extremely concerned.

Nearly 50 per cent of users were concerned about the device overhearing conversations, recording and collecting data about the user without them knowing, or not knowing where or for how long recordings, data or other information would be stored or for what purpose.

Just over 40 per cent of users were concerned about not having control over what happened to their recordings or other information.

Concerningly, 65.5 per cent of people surveyed who used a digital device reported that they didn’t know whether they could change the privacy settings, with another 11.1 per cent saying there was nothing they could do to change those settings.

Comprehensive responses to these kinds of privacy concerns are probably not found in formal law alone, but also in the very design of these devices.

Importantly, the effects that currently go into humanlike conversation might also be used in features that remind users to turn off the device during private conversations or updating their software and passwords.

More generally, a less natural or more clunky interface might remind users they are actually dealing with a machine. Any design changes should be made in consultation with users themselves, to ensure that their information and consumer needs are met.

In this context, ironically, less trust between user and digital assistant in the future might be a good thing.

This article was first published on Pursuit. Read the original article.




Pursuit, University of Melbourne

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Forthcoming machine learning and AI seminars: April 2026 edition

  02 Apr 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 April and 31 May 2026.

#AAAI2026 invited talk: machine learning for particle physics

  01 Apr 2026
How is ML used in the search for new particles at CERN?
monthly digest

AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup

  31 Mar 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

  30 Mar 2026
We launch our new series with a conversation with Ross King - a pioneer in the field of AI-enabled scientific discovery.

A multi-armed robot for assisting with agricultural tasks

and   27 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  26 Mar 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

RWDS Big Questions: how do we highlight the role of statistics in AI?

  25 Mar 2026
Next in our series, the panel explores the statistical underpinning of AI.

A history of RoboCup with Manuela Veloso

  24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence