Tag: Empathy

  • Meditation seems to improve our empathy for strangers

    Meditation seems to improve our empathy for strangers

    [ad_1]

    Meditation can help you connect with others

    Mira/Alamy

    An eight-week meditation programme led women to experience more empathy for strangers, suggesting that meditation can improve our ability to understand and experience other people’s feelings.

    “When you practise mindfulness meditation, these feelings of connectivity and empathy and compassion arise naturally. It is like a side effect almost,” says Fadel Zeidan at the University of California, San Diego. This type of meditation is the practice of focusing attention on the present moment by observing sensations like the breath and is believed to reduce people’s sense of self and help them…

    [ad_2]

    Source link

  • The surprising promise and profound perils of AIs that fake empathy

    The surprising promise and profound perils of AIs that fake empathy

    [ad_1]

    New Scientist Default Image

    ONE HUNDRED days into the war in Gaza, I was finding it increasingly difficult to read the news. My husband told me it might be time to talk to a therapist. Instead, on a cold winter morning, after having fought back tears reading yet another story of human tragedy, I turned to artificial intelligence.

    “I’m feeling pretty bummed out about the state of the world,” I typed into ChatGPT. “It’s completely understandable to feel overwhelmed,” it responded, before offering a list of pragmatic advice: limit media exposure, focus on the positive and practise self-care.

    I closed the chat. While I was sure I could benefit from doing all of these things, at that moment, I didn’t feel much better.

    It might seem strange that AI can even attempt to offer this kind of assistance. But millions of people are already turning to ChatGPT and specialist therapy chatbots, which offer convenient and inexpensive mental health support. Even doctors are purportedly using AI to help craft more empathetic notes to patients.

    Some experts say this is a boon. After all, AI, unhindered by embarrassment and burnout, might be able to express empathy more openly and tirelessly than humans. “We praise empathetic AI,” one group of psychology researchers recently wrote.

    But others aren’t so sure. Many question the idea that an AI could ever be capable of empathy, and worry about the consequences of people seeking emotional support from machines that can only pretend to care. Some even wonder if the rise of so-called empathetic AI might change the way we conceive of…

    [ad_2]

    Source link

  • Sierra Says Conversational AI Will Kill Apps and Websites

    Sierra Says Conversational AI Will Kill Apps and Websites

    [ad_1]

    I might have inadvertently insulted Bret Taylor and Clay Bavor when I interviewed them about their new AI startup last week. Their new company, Sierra, is developing AI-powered agents to “elevate the customer experience” for big companies. Among its original customers are WeightWatchers, Sonos, SiriusXM, and OluKai (a “Hawaiian-inspired” clothing company). Sierra’s eventual market is any company that communicates with its customers, which is a pretty big opportunity. Their plan strikes me as a validation of the widely voiced prediction that 2024 will be the year when the AI models that have bended our minds for the past year will turn into real products. So when I greeted these cofounders, whom I’ve known for years, I remarked that their company seems “very nuts and bolts.”

    Was that the wrong thing to say? “I don’t know if that’s a compliment or criticism or just a fact,” says Taylor, who left his job as co-CEO of Salesforce to start Sierra. I assured him I saw it as more of the latter. “It’s not like you’re building girlfriends!” I noted.

    It’s significant that two of the more visionary leaders in Silicon Valley are building an AI startup not to chase the nerd trophy of superintelligence but to use recent AI advances to futurize nontechnical, mainstream corporations. Their experience puts them toe to toe with better known industry luminaries; Taylor was a key developer of Google Maps in the aughts and Bavor headed Google’s VR efforts. They are eager to assure me that their hearts are still in moonshot mode. Both feel that conversational AI is an advance on par with the graphical user interface or the smartphone, and will have at least as much an impact on our lives. Sierra just happens to focus on a specific, enterprise-y aspect of this. ”In the future, a company’s AI agent—basically the AI version of that company—will be just as important as their website,” says Taylor. “It’s going to completely change the way companies exist digitally.”

    To build its bots in a way that accomplishes that task effectively, pleasingly, and safely, Sierra had to concoct some innovations that will advance AI agent technology in general. And to tackle perhaps the most worrisome issue—hallucinations that might give customers wrong information—Sierra uses several different AI models at once, with one model acting as a “supervisor” to make sure the AI agent isn’t veering into woo-woo territory. When something is about to happen with actual consequences, Sierra invokes its strength-in-numbers approach. “If you chat with the WeightWatchers agent and you write a message, around four or five different large language models are invoked to decide what to do,” says Taylor.

    Because of the power, the vast knowledge, and the uncanny understanding of AI’s powerful large language models, these digital agents can grasp the values and procedures of a company as well as a human can—and perhaps even better than some disgruntled worker in a North Dakota boiler room. The training process is more akin to onboarding an employee than feeding rules into a system. What’s more, these bots are capable enough to be given some, um, agency in serving a caller’s needs. “We found that many of our customers had a policy, and then they had another policy behind the policy, which is the one that actually matters,” says Bavor. Sierra’s agents are sophisticated enough to know this—and also smart enough not to spill the beans right away, and to grant customers a special deal only if they push. Sierra’s goal is no less than to shift automated customer interactions from hell to happiness.

    Courtesy of Sierra

    This was ambrosia to the ears of one of Sierra’s first clients, WeightWatchers. When Taylor and Bavor told CEO Sima Sistani that AI agents could be genuine and relatable, she was intrigued. But the clincher, she told me, was when the cofounders told her that conversational AI could do “empathy at scale.” She was in, and now WeightWatchers is using Sierra-created agents for its customer interactions.

    OK, but empathy? The Merriam-Webster dictionary defines it as “the action of understanding, being aware of, being sensitive to, and vicariously experiencing the feelings, thoughts, and experience of another.” I asked Sistani whether it might be a contradiction to say a robot can be empathetic. After a pause where I could almost hear the gears grinding in her brain, she stammered out an answer. “It’s interesting when you put it that way, but we’re living in 2D worlds. Algorithms are helping us determine the next connection that we see and the relationship that we make. We’ve moved past that as a society.” That meaning the notion that an interaction with a robot cannot be authentic. Of course IRL is the ideal, she hastens to say, and agents are more of a complement to real life than a substitute. But she won’t back down from the empathy claim.

    When I press her for examples, Sistani tells me of one interaction where a WW member said she had to cancel her membership because of hardships. The AI agent love-bombed her: “I’m so sorry to hear that … Those hardships can be so challenging … Let me help you work through this.” And then, like a fairy godmother, the agent helped her explore alternatives. “We’re very clear that it’s a virtual assistant,” says Sistani. “But if we hadn’t been, I don’t think you could tell the difference.”

    [ad_2]

    Source link

  • Kondrakiewicz, K., Kostecki, M., Szadzinska, W. & Knapska, E. Ecological validity of social interaction tests in rats and mice. Genes Brain Behav. 18, e12525 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • Olsson, A., Knapska, E. & Lindstrom, B. The neural and computational systems of social learning. Nat. Rev. Neurosci. 21, 197–212 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Burgos-Robles, A., Gothard, K. M., Monfils, M. H., Morozov, A. & Vicentic, A. Conserved features of anterior cingulate networks support observational learning across species. Neurosci. Biobehav. Rev. 107, 215–228 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Keum, S. & Shin, H. S. Rodent models for studying empathy. Neurobiol. Learn. Mem. 135, 22–26 (2016).

    Article 
    PubMed 

    Google Scholar
     

  • Blanchard, D. C., Griebel, G., Pobbe, R. & Blanchard, R. J. Risk assessment as an evolved threat detection and analysis process. Neurosci. Biobehav. Rev. 35, 991–998 (2011).

    Article 
    PubMed 

    Google Scholar
     

  • Qi, S. et al. How cognitive and reactive fear circuits optimize escape decisions in humans. Proc. Natl Acad. Sci. USA 115, 3186–3191 (2018).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Fanselow, M. S. Neural organization of the defensive behavior system responsible for fear. Psychon. Bull. Rev. 1, 429–438 (1994).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • LeDoux, J. E. & Pine, D. S. Using neuroscience to help understand fear and anxiety: a two-system framework. Am. J. Psychiatry 173, 1083–1093 (2016).

    Article 
    PubMed 

    Google Scholar
     

  • Jercog, D. et al. Dynamical prefrontal population coding during defensive behaviours. Nature 595, 690–694 (2021).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Mobbs, D. The ethological deconstruction of fear(s). Curr. Opin. Behav. Sci. 24, 32–37 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Sharpe, M. J. & Killcross, S. Modulation of attention and action in the medial prefrontal cortex of rats. Psychol. Rev. 125, 822–843 (2018).

    Article 
    PubMed 

    Google Scholar
     

  • DSM-5. Diagnostic and Statistical Manual of Mental Disorders, 4th edn (APA Press, 2013).

  • Kim, A., Keum, S. & Shin, H. S. Observational fear behavior in rodents as a model for empathy. Genes Brain Behav. 18, e12521 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • Preston, S. D. & de Waal, F. B. Empathy: its ultimate and proximate bases. Behav. Brain Sci. 25, 1–20 (2002).

    Article 
    PubMed 

    Google Scholar
     

  • Cummings, K. A. & Clem, R. L. Prefrontal somatostatin interneurons encode fear memory. Nat. Neurosci. 23, 61–74 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Yizhar, O. & Levy, D. R. The social dilemma: prefrontal control of mammalian sociability. Curr. Opin. Neurobiol. 68, 67–75 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Chen, P. & Hong, W. Neural circuit mechanisms of social behavior. Neuron 98, 16–30 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Liang, B. et al. Distinct and dynamic ON and OFF neural ensembles in the prefrontal cortex code social exploration. Neuron 100, 700–714.e709 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wu, Y. E. et al. Neural control of affiliative touch in prosocial interaction. Nature 599, 262–267 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Padilla-Coreano, N. et al. Cortical ensembles orchestrate social competition through hypothalamic outputs. Nature 603, 667–671 (2022).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ito, W., Palmer, A. J. & Morozov, A. Social synchronization of conditioned fear in mice requires ventral hippocampus input to the amygdala. Biol. Psychiatry 93, 322–330 (2023).

    Article 
    PubMed 

    Google Scholar
     

  • Scheggia, D. et al. Somatostatin interneurons in the prefrontal cortex control affective state discrimination in mice. Nat. Neurosci. 23, 47–60 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Piva, M. et al. The dorsomedial prefrontal cortex computes task-invariant relative subjective value for self and other. eLife 8, e44939 (2019).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wang, F. et al. Bidirectional control of social hierarchy by synaptic efficacy in medial prefrontal cortex. Science 334, 693–697 (2011).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Murugan, M. et al. Combined social and spatial coding in a descending projection from the prefrontal cortex. Cell 171, 1663–1677.e1616 (2017).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Yusufishaq, S. & Rosenkranz, J. A. Post-weaning social isolation impairs observational fear conditioning. Behav. Brain Res. 242, 142–149 (2013).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Allsop, S. A. et al. Corticoamygdala transfer of socially derived information gates observational learning. Cell 173, 1329–1342.e1318 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jeon, D. et al. Observational fear learning involves affective pain system and Cav1.2 Ca2+ channels in ACC. Nat. Neurosci. 13, 482–488 (2010).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Keum, S. & Shin, H. S. Neural basis of observational fear learning: a potential model of affective empathy. Neuron 104, 78–86 (2019).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Paradiso, E., Gazzola, V. & Keysers, C. Neural mechanisms necessary for empathy-related phenomena across species. Curr. Opin. Neurobiol. 68, 107–115 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Smith, M. L., Asada, N. & Malenka, R. C. Anterior cingulate inputs to nucleus accumbens control the social transfer of pain and analgesia. Science 371, 153–159 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Fillinger, C., Yalcin, I., Barrot, M. & Veinante, P. Efferents of anterior cingulate areas 24a and 24b and midcingulate areas 24a′ and 24b′ in the mouse. Brain Struct. Funct. 223, 1747–1778 (2018).

    PubMed 

    Google Scholar
     

  • Sierra-Mercado, D., Padilla-Coreano, N. & Quirk, G. J. Dissociable roles of prelimbic and infralimbic cortices, ventral hippocampus, and basolateral amygdala in the expression and extinction of conditioned fear. Neuropsychopharmacology 36, 529–538 (2011).

    Article 
    PubMed 

    Google Scholar
     

  • Halladay, L. R. & Blair, H. T. Distinct ensembles of medial prefrontal cortex neurons are activated by threatening stimuli that elicit excitation vs. inhibition of movement. J Neurophysiol. 114, 793–807 (2015).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Padilla-Coreano, N., Tye, K. M. & Zelikowsky, M. Dynamic influences on the neural encoding of social valence. Nat. Rev. Neurosci. 23, 535–550 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Huang, Z. et al. Ventromedial prefrontal neurons represent self-states shaped by vicarious fear in male mice. Nat. Commun. 14, 3458 (2023).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Franklin, T. B. et al. Prefrontal cortical control of a brainstem social behavior circuit. Nat. Neurosci. 20, 260–270 (2017).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Siciliano, C. A. et al. A cortical–brainstem circuit predicts and governs compulsive alcohol drinking. Science 366, 1008–1012 (2019).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Vander Weele, C. M. et al. Dopamine enhances signal-to-noise ratio in cortical-brainstem encoding of aversive stimuli. Nature 563, 397–401 (2018).

    Article 
    ADS 

    Google Scholar
     

  • Assareh, N., Bagley, E. E., Carrive, P. & McNally, G. P. Brief optogenetic inhibition of rat lateral or ventrolateral periaqueductal gray augments the acquisition of Pavlovian fear conditioning. Behav. Neurosci. 131, 454–459 (2017).

    Article 
    PubMed 

    Google Scholar
     

  • Courtin, J. et al. Prefrontal parvalbumin interneurons shape neuronal activity to drive fear expression. Nature 505, 92–96 (2014).

    Article 
    ADS 
    PubMed 

    Google Scholar
     

  • Ozawa, T. et al. A feedback neural circuit for calibrating aversive memory strength. Nat. Neurosci. 20, 90–97 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Haaker, J., Yi, J., Petrovic, P. & Olsson, A. Endogenous opioids regulate social threat learning in humans. Nat. Commun. 8, 15495 (2017).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Huang, J. et al. A neuronal circuit for activating descending modulation of neuropathic pain. Nat. Neurosci. 22, 1659–1668 (2019).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Rozeske, R. R. et al. Prefrontal–periaqueductal gray-projecting neurons mediate context fear discrimination. Neuron 97, 898–910.e896 (2018).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Anastasiades, P. G., Marlin, J. J. & Carter, A. G. Cell-type specificity of callosally evoked excitation and feedforward inhibition in the prefrontal cortex. Cell Rep. 22, 679–692 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Senn, V. et al. Long-range connectivity defines behavioral specificity of amygdala neurons. Neuron 81, 428–437 (2014).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Sotres-Bayon, F., Sierra-Mercado, D., Pardilla-Delgado, E. & Quirk, G. J. Gating of fear in prelimbic cortex by hippocampal and amygdala inputs. Neuron 76, 804–812 (2012).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hagihara, K. M. et al. Intercalated amygdala clusters orchestrate a switch in fear state. Nature 594, 403–407 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • McGarry, L. M. & Carter, A. G. Inhibitory gating of basolateral amygdala inputs to the prefrontal cortex. J. Neurosci. 36, 9391–9406 (2016).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Anderson, S. W., Bechara, A., Damasio, H., Tranel, D. & Damasio, A. R. Impairment of social and moral behavior related to early damage in human prefrontal cortex. Nat. Neurosci. 2, 1032–1037 (1999).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Shin, L. M., Rauch, S. L. & Pitman, R. K. Amygdala, medial prefrontal cortex, and hippocampal function in PTSD. Ann. NY Acad. Sci. 1071, 67–79 (2006).

    Article 
    ADS 
    PubMed 

    Google Scholar
     

  • Jeon, D. & Shin, H. S. in Current Protocols in Neuroscience (eds. Crawley, J. N. et al.) Ch. 8, Unit 8 27 (2011).

  • Holmes, A. & Rodgers, R. J. Prior exposure to the elevated plus-maze sensitizes mice to the acute behavioral effects of fluoxetine and phenelzine. Eur. J. Pharmacol. 459, 221–230 (2003).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Karlsson, R. M., Tanaka, K., Heilig, M. & Holmes, A. Loss of glial glutamate and aspartate transporter (excitatory amino acid transporter 1) causes locomotor hyperactivity and exaggerated responses to psychotomimetics: rescue by haloperidol and metabotropic glutamate 2/3 agonist. Biol. Psychiatry 64, 810–814 (2008).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Feyder, M. et al. Association of mouse Dlg4 (PSD-95) gene deletion and human DLG4 gene variation with phenotypes relevant to autism spectrum disorders and Williams’ syndrome. Am. J. Psychiatry 167, 1508–1517 (2010).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gunduz-Cinar, O. et al. A cortico-amygdala neural substrate for endocannabinoid modulation of fear extinction. Neuron 111, 3053–-3067.e10 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Halladay, L. R. et al. Prefrontal regulation of punished ethanol self-administration. Biol. Psychiatry 87, 967–978 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Eastwood, B. S. et al. Whole mouse brain reconstruction and registration to a reference atlas with standard histochemical processing of coronal sections. J. Comp. Neurol. 527, 2170–2178 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ahrlund-Richter, S. et al. A whole-brain atlas of monosynaptic input targeting four different cell types in the medial prefrontal cortex of the mouse. Nat. Neurosci. 22, 657–668 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • Sengupta, A. & Holmes, A. A discrete dorsal raphe to basal amygdala 5-HT circuit calibrates aversive memory. Neuron 103, 489–505.e487 (2019).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

[ad_2]

Source link