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Expert AI as a Healthcare Superpower

Expert AI as a Healthcare Superpower

52 segments available

The last few months have seen dramatic — almost magical — applications of expert generative AI released to the public. But what does this mean for healthcare and bio? Vijay and Marc sat down for a wide-ranging discussion on AI as an additive superpower…for healthcare as well as screenplays, music, and more. Stay Updated: → Find us on Twitter: https://twitter.com/a16z → Find us on LinkedIn: https://www.linkedin.com/company/a16z → Subscribe on your favorite podcast app: https://a16z.simplecast.com/ → Follow our host: https://twitter.com/stephsmithio Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. For more details please see a16z.com/disclosures.

Segments Timeline

1
0:20 - 1:07
0:46 duration178 words

The AI Revolution: A Breakthrough Year

Marc Andreessen discusses the transformative impact of AI in 2022, likening it to past technological revolutions. He reflects on how AI has reached a critical mass, with significant advancements in machine learning and natural language processing, leading to a cascade of innovations that are reshaping industries, including healthcare.

"I'm the founding General partner of the a16z bio and health fund and I'm Mark Andreessen the co-founder of a16c mark thank you so much for joining us yeah it's great to be here yeah so you know you fa..."

2
1:07 - 1:57
0:49 duration217 words

From Software to AI: A New Paradigm

Marc contrasts traditional software development with the emerging paradigm of AI, where systems learn from data rather than follow deterministic programming. He emphasizes the shift towards probabilistic models that allow computers to interact with the complexities of the real world, marking a significant evolution in how software is created and utilized.

"amazing year it always seem like not much happens in any given year but 2022 seems to have been an amazing year for AI right also Vladimir Lenin uh yes once said yes um there are decades in which noth..."

3
1:57 - 3:01
1:04 duration258 words

Training AI: The New Learning Process

The conversation shifts to the concept of training AI systems, comparing it to training a dog versus a human. Marc explores how AI learns through reinforcement and experimentation, drawing parallels to child development and the learning processes observed in young children as they explore their environment.

"we see happening around you know GPT and text generation yeah um and then uh you know even even other other applications transcription you know is getting much better all of a sudden speech synthesis ..."

4
3:01 - 4:01
1:00 duration278 words

The Quest for AGI: Are We There Yet?

Marc and Vijay delve into the complexities of achieving Artificial General Intelligence (AGI). They discuss the current capabilities of AI, including its performance on standardized tests, while questioning whether true consciousness and creativity can emerge from advanced neural networks, highlighting the ongoing debate in the AI community.

"fault um and the Machine will just sit and wait for you to fix the problem like it's not it's not gonna it's not going to do that on its own um and then there's this new there's this other way to writ..."

5
4:01 - 5:01
1:00 duration290 words

AI's Limitations: Humor and Everyday Tasks

The discussion turns to the limitations of AI, particularly in understanding humor and performing everyday tasks. Marc points out that while AI can excel in certain areas, it struggles with nuanced human experiences, such as humor, and practical tasks like packing a suitcase, illustrating the gap between human intelligence and current AI capabilities.

"HAL 9000 and so on well so I I while this has been happening you know if you have kids like I have a you know young young child so I have a seven-year-old now so as this stuff has all been popping I'v..."

6
5:01 - 6:01
1:00 duration254 words

The Illusion of Creativity: AI vs. Human Intelligence

Marc reflects on the nature of creativity in both AI and humans, suggesting that what we perceive as creativity may be a product of underlying patterns and algorithms. He discusses the idea that human creativity might not be as unique as we think, drawing parallels to AI's ability to generate content based on existing knowledge.

"know the human brain just like you developing and then you know It ultimately you know it clearly has Consciousness achieves you know higher levels of consciousness achieves higher levels of sort of s..."

7
6:01 - 7:01
1:00 duration213 words

Understanding Human Emotions: Core Affect Theory

The conversation explores Core Affect Theory, which posits that human emotions can be simplified into basic positive and negative responses. Marc discusses how this theory relates to AI's understanding of human emotions and the implications for AI's ability to replicate or understand complex emotional experiences.

"yeah I actually gave it like acid questions like uh to explain the derivation for the source trial radius you know the black hole radius to write a code for let's say eight by eight tic-tac-toe like r..."

8
9:42 - 10:14
0:32 duration153 words

The Hero's Journey in AI

In this segment, the discussion revolves around the concept of the hero's journey and its parallels to AI's ability to evoke emotional responses. The speakers explore how AI can tap into human neurochemistry, generating reactions such as fear, anxiety, and love, and how this relates to storytelling and emotional experiences.

"the theory yeah just you know I'm kind of making this up but I think the theory would be the hero with a thousand faces or the yes the idea of the Union hero's journey yes yes which is sort of the bas..."

9
10:14 - 10:46
0:31 duration146 words

Core Affect Theory Explained

The conversation introduces Core Affect Theory, which simplifies human emotions into two dimensions: positive/negative and high/low intensity. The speakers discuss how this theory suggests that humans may be more basic in their emotional responses than previously thought, and how we often create narratives to justify these responses.

"do humans have all these love and despair like we have all these different emotions to celebrate core ethic Theory says no we don't uh oh yeah yes or no good bad good or bad yeah and then Higher Love ..."

10
10:46 - 11:19
0:33 duration147 words

Neurochemistry and Human Experience

This segment delves into the idea that human experiences, such as love and drug responses, may be fundamentally neurochemical. The speakers discuss how different individuals react to substances like alcohol based on their neurochemical makeup, suggesting that our emotional experiences are deeply rooted in biology.

"as and we're very one of the things that's great known is humans are very good at creating a story to justify whatever happened right um and so we create these stories these scripts around this idea o..."

11
11:19 - 12:01
0:41 duration181 words

Rethinking the Turing Test

The discussion critiques the Turing Test, arguing that it sets a low bar for determining AI intelligence. The speakers suggest that tricking a human is not a strong indicator of true intelligence, and they predict that AI like GPT will soon pass this test, raising questions about the validity of such assessments.

"neurochemical thing so so yeah look maybe we're maybe we're bundles of neurochemistry to a much deeper extent than or a much simpler extent than we want to believe yeah having said that um you know ag..."

12
12:01 - 12:55
0:53 duration219 words

Self-Awareness in AI

In this segment, the speakers explore the concept of self-awareness in AI. They highlight how AI can provide contradictory responses about its self-awareness, emphasizing that true consciousness involves a nuanced understanding of existence that AI currently lacks.

"like yes like I think and this is relevant because I think you know things like GPT are about to pass the Turing test yes yeah exactly um and so I think it's going to turn out that that was too lightw..."

13
12:55 - 13:39
0:44 duration180 words

AI Reflecting Human Nature

The speakers discuss how studying AI can lead to insights about human nature. They suggest that as AI evolves, it may reveal more about our own consciousness and the tricks we play on ourselves, prompting a deeper understanding of both AI and humanity.

"sort of seeing that the magician has certain tricks whether it's the AI magician or the human magician uh and it's going through this education process I'm curious though like it feels like you know s..."

14
13:39 - 14:31
0:51 duration222 words

The Future of AI and Education

This segment raises questions about the future of AI in education, particularly regarding the standards for obtaining advanced degrees like a PhD. The speakers discuss the implications of AI's capabilities on traditional educational metrics and the validity of current academic standards.

"have years ago like how would they score the phds that are being granted today when they say wow would they say the bar is lower lower I think they would say it bars dramatically lower yes right um an..."

15
14:31 - 15:05
0:34 duration143 words

Defining Expertise in the Age of AI

The conversation shifts to what it means to be an expert in various fields, including drug design and creative arts. The speakers question whether current educational systems effectively cultivate true expertise and how AI might influence this landscape.

"it's done I'd be more skeptical that they were ever useful in the first one too right um yeah well so in the PC let's talk about like at least in that old school mentality of a PhD of some Advan Advan..."

16
15:05 - 15:58
0:52 duration201 words

The Fine Line Between Good and Great

In this segment, the speakers discuss the nuances of creativity and expertise, particularly in music and screenwriting. They explore how the distinction between good and great work can be subtle and how AI currently struggles to produce truly exceptional creative outputs.

"eventually when you get out right yeah you know and that you have to apply it I think it's where I think it is one of the things about being an expert in my mind is that something that is the differen..."

17
15:58 - 16:43
0:45 duration164 words

Market Tests in Creative Industries

The speakers analyze how creative works, such as screenplays and music, are subject to market tests. They discuss the implications of these tests on artistic integrity and how AI-generated content fits into this framework.

"best screenplay okay you know and so that's this part where I think we're we're gonna we're not there yet okay you know but then I think we're getting there so name a great music composer generated by..."

18
16:43 - 17:29
0:46 duration171 words

The Role of Taste in Creativity

This segment delves into the concept of taste in creative endeavors. The speakers discuss how taste influences the perception of quality in art and science, and how this subjective measure complicates the evaluation of AI-generated works.

"innately sort of knew how to write a screenplay I don't know yeah I assume there's a process where they write a screenplay it's kind of mediocre oh yeah yeah yeah and then and then they get critiqued ..."

19
17:29 - 18:10
0:40 duration162 words

Emergence of AI and Consciousness

The discussion turns to the potential for AI to achieve a level of consciousness through emergent processes. The speakers ponder whether understanding human consciousness is necessary for AI to reach similar levels of complexity.

"the theater and they feel you know invested in and they don't want to leave in the middle but like yeah it's very easy to punch out yeah it turns out a lot of screenplays you know this is something th..."

20
18:10 - 21:26
3:16 duration753 words

Exploring Human Consciousness

In this final segment, the speakers reflect on the current understanding of human consciousness and the limitations of existing medical knowledge. They propose the idea of a new field, 'molecular psychology,' to better explore the intricacies of consciousness and its implications for AI development.

"market test is real but yeah let me Grant your point so let's build on what you said your point like let's use this could we use the term paste maybe like yeah or just ability to do something hard wel..."

21
21:29 - 22:25
0:55 duration233 words

AI's Role in Healthcare

The discussion transitions to the potential of AI in healthcare, particularly in drug design and medical diagnosis. The speakers argue that while AI may not need to fully understand consciousness, it can still operate effectively within limited domains, such as suggesting diagnoses or treatments based on symptoms.

"molecules to maybe perturb more than just on off but like perturbs things we can start to understand the brain yeah a little bit because reading is one thing but like poking and and sort of perturbing..."

22
22:25 - 23:22
0:57 duration269 words

Comparing AI and Human Doctors

In this segment, the speakers compare AI's diagnostic capabilities to those of human doctors. They discuss the threshold for success in medical AI, questioning whether the goal should be perfection or simply better performance than human practitioners. The conversation highlights the limitations of human doctors, including time constraints and varying levels of expertise.

"and it's just like they didn't know that and as far as I know they don't know now and so the counter argument would be this is all just like massive cope for the fact that we actually we don't underst..."

23
23:22 - 24:06
0:44 duration169 words

The Future of Medical Diagnosis

The speakers explore the implications of AI in medical diagnosis, emphasizing the potential for AI to outperform human doctors. They discuss the importance of data compliance and the challenges faced by doctors in tracking patient outcomes, suggesting that AI could provide a more reliable and efficient alternative.

"then takes another like 30 years to get to the next sort of breakthroughs to get there but okay so but I would pull back from there so AGI is the fun thing there is a sort of step back which is to pic..."

24
24:06 - 25:04
0:57 duration256 words

Self-Driving Cars and AI Ethics

This segment draws parallels between self-driving cars and AI in healthcare. The speakers argue that self-driving technology is already outperforming human drivers, raising ethical questions about the future of human-operated vehicles. They suggest that similar considerations should apply to AI in medical contexts, where machines could potentially provide better outcomes than human practitioners.

"what's the counter and I know you especially think about Healthcare a lot yeah yeah well so the first thing is whenever you're scoring well let's talk about medical diagnosis which is kind of just low..."

25
25:04 - 26:01
0:56 duration242 words

Evaluating AI in Healthcare

The conversation continues with a focus on evaluating AI's effectiveness in healthcare. The speakers propose a dual testing approach: one that measures AI's diagnostic accuracy against human doctors and another that assesses the AI's performance over time. They emphasize the need for rigorous evaluation to determine AI's true capabilities.

"Than People on a relative basis and therefore like morally you could even go so far as to say human drivers should be outlawed today right like it would be like if you have the alternative you can hav..."

26
26:01 - 27:03
1:02 duration265 words

Challenges in Patient Compliance

In this segment, the speakers discuss the challenges of patient compliance in medical treatment. They highlight the difficulties doctors face in tracking whether patients follow prescriptions and the implications for treatment success. The conversation underscores the need for better systems to monitor patient adherence to improve healthcare outcomes.

"good is the media doctor in the diagnosis and like I don't know what your experience has been like well and the median doctor may be smart but also maybe overloaded maybe exhausted may have like 12 ot..."

27
27:03 - 28:01
0:57 duration276 words

The State of Medical Knowledge

The speakers reflect on the current state of medical knowledge and the limitations of existing healthcare systems. They draw comparisons to the automotive industry, suggesting that both fields have significant room for improvement. The conversation emphasizes the need for a critical examination of healthcare practices and the potential for AI to drive positive change.

"disasters right but that means like the ability for a media doctor to even evaluate the success of a treatment they may actually may not be able to do it because they may not have the data on complian..."

28
28:01 - 29:01
0:59 duration246 words

The Future of AI in Medicine

This segment explores the future of AI in medicine and the societal changes required to adapt to its advancements. The speakers discuss the potential for AI to revolutionize healthcare and the cultural shifts necessary to embrace this technology. They emphasize the importance of preparing for the changes that AI may bring in the next decade.

"sort of learn from that as well well then the other and then the other question I'm sure you thought about but like okay so the medical field moves and you know in the existing system the media and do..."

29
29:01 - 30:00
0:58 duration238 words

Cultural Readiness for AI

The final segment addresses the cultural readiness for AI's integration into society. The speakers discuss the broader implications of AI beyond healthcare, touching on government, regulation, and education. They highlight the need for society to evolve in response to the rapid advancements in AI technology.

"you actually when you pull it you can or at least maybe it's how you collaborate have you really found human beings to make better decisions in groups than they do as individuals that's a good questio..."

30
30:00 - 30:48
0:47 duration193 words

AI's Role in Collaborative Decision-Making

The conversation shifts to the potential of AI in enhancing collaborative decision-making. The speakers suggest that AI could be trained to simulate various perspectives, akin to a Monte Carlo method, allowing for more nuanced and informed group decisions. This segment highlights the transformative possibilities of AI in group settings.

"maybe it should do like this effectively a Monte Carlo yeah yeah yeah right right run the same inputs 100 times yes yes right yeah well okay so so I I either will never get there or we're already ther..."

31
30:48 - 31:39
0:51 duration209 words

Cultural Readiness for AI Integration

The speakers discuss the societal changes needed to adapt to the rapid advancements in AI technology. They reflect on how AI's impact on healthcare, education, and governance may require a cultural shift over the next decade, emphasizing the importance of preparing for these changes to fully leverage AI's potential.

"to start yeah so where I would start is we've already fallen into I think we've we've deliberately kind of fallen into trap already which is we've only been using a single kind of example and we've us..."

32
31:39 - 32:34
0:55 duration217 words

Revisiting Fundamental Assumptions

In this segment, the discussion focuses on how AI can challenge existing assumptions in various fields, particularly in medicine and education. The speakers argue that technology does not merely replace jobs but creates new opportunities by enabling tasks that were previously impossible, thus fostering growth and innovation.

"yes to growth and so specifically for example the role of the doctor um you know it's like okay the doctor of the future is probably not going to be doing the same right we have a tournament in in it ..."

33
32:34 - 33:19
0:45 duration193 words

The Future Role of Doctors

The conversation explores the evolving role of doctors in a future empowered by AI. The speakers envision a shift from traditional diagnostic tasks to more meaningful patient interactions, emphasizing the potential for doctors to focus on behavioral health and holistic care, thereby enhancing the patient experience.

"as you know like a lot of primary medical issues today are consequence of different behaviors yes and maybe doctors should be spending more time in behaviors and it speaks to compliance as well as oth..."

34
33:19 - 34:06
0:46 duration191 words

Transforming Education with AI

This segment discusses the potential transformation of the education system through AI. The speakers highlight the importance of one-on-one tutoring and how AI can facilitate personalized learning experiences, allowing teachers to focus on more impactful educational interactions and potentially revolutionizing how education is delivered.

"I'm a doctor that that's where that's where I would want to be yeah towards yeah right and then and that and that's probably a bigger and more important market right you know and then and then in term..."

35
34:06 - 35:01
0:55 duration246 words

Augmented Intelligence: A New Paradigm

The speakers introduce the concept of 'augmented intelligence' as a more accurate representation of AI's role in society. They argue that rather than replacing human capabilities, AI enhances productivity and creativity, drawing parallels to historical technological advancements that have ultimately expanded markets and opportunities.

"we have today is an artifact of the Industrial Age if the Industrial Age components of it become automated the teacher becomes freed up to actually work more one-to-one with students the result might ..."

36
35:01 - 36:00
0:58 duration235 words

AI as a Creative Superpower

In this segment, the discussion centers on how AI can serve as a creative partner for artists and writers. The speakers illustrate how AI tools can enhance creativity by providing new ideas and perspectives, ultimately leading to richer artistic expressions and a broader market for creative works.

"intelligence which kind of implies replacement yeah the the one I actually like much better is augmented intelligence yes and augmented intelligence is you know it's another example the term would be ..."

37
36:00 - 37:00
0:59 duration284 words

The Expanding Market for Creative Expression

The conversation highlights the historical context of technological advancements in the creative industries, such as photography and recorded music. The speakers argue that AI will similarly expand the market for creative expression, enabling artists and musicians to reach larger audiences and innovate in their fields.

"that creates modern abstraction right yeah which actually is maybe even more expressive right than just taking a picture right and so now I can make pictures with with AI all the time right so where d..."

38
37:00 - 39:01
2:01 duration539 words

Overcoming Fear of New Technologies

The final segment addresses the societal fears surrounding new technologies, particularly AI. The speakers reference the Prometheus myth to illustrate the anxiety associated with technological advancements and emphasize the need for a balanced perspective that recognizes the positive impacts of technology on society.

"and and scripts a good example if I'm a Hollywood screenwriter today like GPT is my best friend and I'm just sitting there all day long and I'm just saying you know playing out it's like okay I reach ..."

39
39:10 - 40:06
0:55 duration256 words

The Historical Context of Technological Fear

The conversation shifts to the historical context of technological advancements and the fears associated with them. The speakers argue that every new technology has faced predictions of societal upheaval, yet they ultimately improve lives. They highlight that people today would not want to revert to the conditions of 50 years ago, showcasing the inherent value of technological progress.

"kind of plays out over and over again in all these discussions about regulation yes that this stuff you know especially it's the gods who punish him right the existing Gods yes yes well on behalf yes ..."

40
40:06 - 41:02
0:55 duration209 words

Regulating AI: A Skeptical View

This segment delves into the skepticism surrounding the regulation of AI technologies. The speakers question the feasibility of regulating complex mathematical concepts and algorithms, likening it to regulating fundamental principles like algebra. They discuss the challenges of implementing regulations that make sense in the context of rapidly evolving AI capabilities.

"true and so I actually think like fear maybe the Jeff fear maybe the actual biggest threat yeah fear leads to the kind of uh you know reach for regulation yes I'm a skeptic I I don't it's like I don't..."

41
41:02 - 42:09
1:07 duration282 words

Self-Driving Cars: A Case Study in Incremental Progress

The discussion highlights the evolution of self-driving cars as a case study in technological advancement. The speakers compare two approaches: one that waits for perfection before regulatory approval and another that embraces incremental improvements. They emphasize that the latter approach, exemplified by companies like Tesla, has led to significant progress in self-driving technology.

"that well yes it turns out because the cars are driving yeah so yeah that's okay so yeah Heroes internet okay so here's how that played out self-driving cars yeah it's interesting there was one catego..."

42
42:09 - 43:06
0:56 duration238 words

The Tipping Point for AI in Medicine

In this segment, the speakers speculate on the tipping point for AI adoption in medicine. They discuss how statistical evidence of AI's superiority over human performance could shift moral perspectives, leading to widespread acceptance of AI tools in healthcare. The conversation reflects an optimistic view of AI's potential to enhance medical practices.

"including yeah as I said clearly in the data this is now standard because you can't drivers you can't make it work just magically right it has to do happen gradually right because it's it's right it's..."

43
43:06 - 44:00
0:53 duration258 words

Augmenting Doctors with AI Tools

The speakers explore how AI can augment doctors' capabilities by providing additional diagnostic options. They illustrate this with an example of a doctor using AI to generate multiple possible diagnoses based on symptoms, enhancing the decision-making process. This segment emphasizes the collaborative potential of AI in healthcare.

"medicine pretty quick yeah yeah yeah I'm an optimist on that and again I'm not an optimist because I think the a is going to be perfect I'm an optimist because I think the status quo is not that good ..."

44
44:00 - 45:00
0:59 duration271 words

The Role of Patients in AI-Driven Healthcare

This segment discusses the evolving role of patients in healthcare as they become more informed and engaged through AI tools. The speakers highlight how patients can arrive at consultations with knowledge gained from AI, potentially equalizing the doctor-patient dynamic. They reflect on the implications of this shift for medical practice.

"yes okay oh I didn't even realize right that you know because maybe this is a new thing since you know I went to medical school or something I didn't realize diagnosis number three was an option I jus..."

45
45:00 - 46:01
1:01 duration275 words

Navigating Expectations and Reality in AI

The conversation addresses the challenges of managing expectations around AI technology. The speakers caution against the tendency to expect perfection from AI systems, noting that negative headlines can create moral panic. They emphasize the importance of grounding discussions in real-world capabilities rather than idealized scenarios.

"very different regulatory play than we've seen in the history of healthcare well I think that's just uh you tell me I think that's just going to happen so yeah yeah here's what everybody knows yeah I'..."

46
46:01 - 47:10
1:09 duration277 words

The Trolley Problem and AI Ethics

In this segment, the speakers discuss the ethical dilemmas posed by AI, particularly in the context of self-driving cars and the trolley problem. They argue that human drivers face similar moral decisions but often without the complex deliberation attributed to AI. The conversation highlights the need for realistic expectations of AI's decision-making capabilities.

"as a doctor do you want your patient yeah the patient more educated they may just be humoring me but I think they want maybe with you they might look a little bit more sideways but if it was really he..."

47
47:10 - 48:01
0:51 duration216 words

Addressing Fear Through Understanding

The speakers explore the antidote to fear surrounding AI technology, emphasizing the importance of education and cultural orientation towards new innovations. They discuss how understanding the mechanics of AI can alleviate concerns and promote acceptance, drawing parallels to the evolution of self-driving cars and other technologies.

"from self-driving cars which is you know you have a choice between killing you know I don't know it's like I don't know five grandmas or one little kid or all these different like you have to leave bu..."

48
48:01 - 49:22
1:20 duration350 words

The Inevitable Integration of AI in Healthcare

In the final segment, the speakers assert that the integration of AI tools in healthcare is inevitable. They discuss how patients will increasingly use AI to inform their healthcare decisions, compelling doctors to adapt. The conversation reflects a forward-looking perspective on the transformative potential of AI in the medical field.

"to say I'm a software software developer but background it's like okay I can actually like the other the algorithms that do this like you know can I tell you every aspect how they work no like do they..."

49
49:58 - 51:13
1:14 duration351 words

AI's Role in Streamlining Healthcare Processes

This segment highlights a practical application of AI in healthcare, specifically in the bureaucratic process of insurance reimbursements. The speakers discuss how AI, like GPT, can assist doctors in writing necessary letters for insurance claims, potentially freeing up valuable time for patient care and improving overall healthcare efficiency.

"companies and then years later in the form of something individual people could use the the model today is like it's just online yeah like GPD is online right now yes well the the future of paint is r..."

50
51:13 - 52:11
0:58 duration270 words

Transforming Healthcare Without Regulation Changes

The discussion continues on how AI can enhance healthcare efficiency without needing regulatory changes. The speakers illustrate how a single innovative idea can lead to widespread improvements in the healthcare system, emphasizing the potential for immediate transformation through the adoption of AI tools.

"um and so he's like it turns out GPT is really good at writing those letters with the references with the references yes with the scientific references like full-on right yeah and so you've got this s..."

51
52:11 - 54:00
1:48 duration458 words

Equalizing Power Dynamics with AI

In this segment, the speakers explore how AI can help balance the power dynamics between consumers and large corporations. They discuss the example of an AI-driven app that assists users in unsubscribing from services, showcasing how AI can alleviate burdens on individuals and potentially lead to systemic changes in consumer rights.

"real possibility yeah and that could be because everyone's working within the system you can have the transformation immediately but then eventually someone has to read all those letters so that's to ..."

52
54:00 - 55:11
1:11 duration314 words

A Bright Future for AI in Healthcare

The final segment presents an optimistic view of the future of AI in healthcare. The speakers express confidence that if engineers can create effective AI solutions that genuinely help patients, these technologies will be embraced and integrated into the healthcare system, leading to significant improvements in patient care and industry practices.

"think yeah and to your point like step one for changing the system might be retaliation which is all of a sudden the safe teams will be Bots and so maybe the boss will be arguing with the Bots yes but..."