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What ifyou could talk to a digital facsimile of a deceased loved one? Would you really be talking to them? Would you even want to?

In recent years, technology has been employed to resurrect the dead, mostly in the form of departed celebrities. Carrie Fisher was digitally rendered in order to reprise her role as Princess Leia in the latest "Star Wars" film. Kanye West famously gifted Kim Kardashian a hologram of her late father for her birthday last year.Most recently and controversiallyartificial intelligence was used to deepfakechef Anthony Bourdains voiceto provide narration in the documentary film Roadrunner.

In what seems eerily like aBlack Mirror episode,Microsoft announced earlier this year it had secureda patent for software that could reincarnate people as a chatbot, opening the door to even wider use of AI to bring the dead back to life.

We asked our faculty experts aboutAI technology in use today, the future of digital reincarnation, and the ethical implications of artificial immortality.

When we learn about some very sophisticated use of AI . . . we tend to extrapolate from that situation that AI is much better than it really is. Roy-Chowdhury

A: All artificial intelligence uses algorithms that need to be trained on large datasets. If you have lots of text or voice recordings from a person to train the algorithms, its very doable to create a chatbot that responds similarly to the real person. The challenges arise in unstructured environments, where the program has to respond to situations it hasnt encountered before.

For example, weve probably all had interactions with a customer service chatbot that didnt go as planned. Asking a chatbot to help you change an airline ticket, for example, requires the AI to make decisions around several unique conditions. This is usually easy for a person, but a computer may find it difficult, especially if there are unique conditions involved. Many of these AI systems are essentially just memorizing routines. They are not getting a semantic understanding that would allow them to generate entirely novel, yet reasonable, responses.

When we learn about some very sophisticated use of AI to copy a real person, such as in the documentary about Anthony Bourdain, we tend to extrapolate from that situation that AI is much better than it really is. They were only able to do that with Bourdain because there are so many recordings of him in a variety of situations. If you can record data, you can use it to train an AI, and it will behave along the parameters it has learned. But it cant respond to more occasional or unique occurrences. Humans have an understanding of the broader semantics and are able to produce entirely new responses and reactions. We know the semantic machinery is messy.

In the future, we will probably be able to design AI that responds in a human-like way to new situations, but we dont know how long this will take. These debates are happening now in the AI community. There are some who think it will take 50-plusyears, and others think we are closer.

AI is still ineffective at building chatbots that can respond in a meaningful way to open-domain conversations. Hristidis

A: AI has been very successful in the last few years in problems relating to changing the tone or styleof images, videos, or text. For example, we are able to replace the face of a person in a picture or a video, or change the words of a person in a video, or change the voice of an audio recording.

AI has also been somewhat successful in modifying the words in a sentence to change the tone or style of a sentence, for example, to make it more serious or funnier or use the vocabulary of a specific person,alive or dead.

A: AI is still ineffective at building chatbots that can respond in a meaningful way to open-domain conversations. For example, voice assistants like Alexa or Siri can only help in a very limited set of tasks, such as playing music or navigating, but fail for unexpected tasks such as find a free two-hour slot before sunset this weekend in my calendar.

A key challenge is that language is very complex, as there are countless ways to express the same meaning. Further, when a chatbot generates a response, even a single inappropriate word can completely mess up the meaning of a sentence, which is not the case with, say, images, where changing the color of a few pixels may go unnoticed by viewers.

In the future, we will see more progress in modeling the available knowledge and also in language understanding and generation. This will be facilitated by the huge training data generated by voice assistants, which offer a great research advantage to large tech companies over academic institutions.

We might come to not care very much whether grandma is human or deepfake. Schwitzgebel

A: I am struck by the possibility of a future in which we might be able to feel more and more like our departed loved ones are really still here through voice and video generated to sound and look like them. Programs might be designed so that artificial reconstructions of them even say the kinds of things that they based on past records would have tended to say. If an artificial intelligence program gains access to large amounts of text and voice and video of the deceased, we might even be able to have conversations with them in which they feel almost like our familiar old friends, with the same quirks and inflections and favorite phrases.

At the same time, the pandemic has launched us into a world in which more and more we are interacting with people by remote video or at least this is true for white-collar workers. Thus, the gap between the real interactions we have with living people by remote video and interactions with reconstructed versions of the deceased could become less and less, until the difference is subtle.

If we want, we can draw on text and image and video databases to create simulacra of the deceased simulacra that speak similarly to how they actually spoke, employing characteristic ideas and turns of phrase, with voice and video to match. With sufficient technological advances, it might become challenging to reliably distinguish simulacra from the originals, based on text, audio, and video alone.

Now combine this thought with the first development, a future in which we mostly interact by remote video. Grandma lives in Seattle. You live in Dallas. If she were surreptitiously replaced by Deepfake Grandma, you might hardly know, especially if your interactions are short and any slips can be attributed to the confusions of age.

This is spooky enough, but I want to consider a more radical possibility the possibility that we might come to not care very much whether grandma is human or deepfake.

I firmly believe in the empowerment of individual choice. Maguire

A: As academics, we can only speculate as to the potential risks/benefits since no one has direct clinical experience with AI and we lack any empirical evidence. I firmly believe in the empowerment of individual choice. If a patient of mine were to ever ask my guidance on such, I would outline the above, cite the hypothesized possibilities, and allow my patient to make their informed decision.

Read more:
Artificial intelligence is bringing the dead back to 'life' but should it? - UC Riverside