08 | AI Unleashed - An Interview with ChatGPT on the Impact of AI on Businesses and Our Society as a Whole

26:32Now that we know how to identify the lowest hanging fruits, how do I select the tools that will provide me the best efficiency savings to the specific use cases that I've identified? You're absolutely right. Evaluating the ROI and considering factors like repetitive tasks, data analysis requirements, and prediction needs are crucial for identifying the right AI projects. Now let's dive into the AI tool selection process. Set clear objectives and requirements. Begin by identifying the specific objectives and requirements for the AI project. What problem are you trying to solve? What are the desired outcomes?

27:07What data do you have available? Having clear goals and requirements will help you narrow down your search for AI tools. Conduct initial research. Start by searching for AI tools that align with your objectives and requirements. Read articles, blog posts, and industry reports to identify leading AI tools in the market. Join online forums, attend webinars, and network with other professionals to gain insights into the latest trends and solutions. Create a short list of AI tools. Based on your research, create a short list of AI tools that seem to fit your needs. Consider factors like functionality, ease of use, scalability, compatibility with existing systems, and pricing.

27:49Request demos and trials. Contact the vendors of the shortlisted tools and request demos or trials. This will give you a hands-on experience with the tools and help you understand their capabilities, user interface, and ease of integration with your existing systems. Evaluate the AI tools. Using the demos and trials, evaluate the AI tools based on a set of predefined criteria. These might include performance, accuracy, ease of use, customization options, scalability, support, and cost. You can use a scoring system or a comparison matrix to objectively assess and compare the tools. Consult with internal stakeholders and end users.

28:29Involve the people who will be using the AI tools in the evaluation process. Gather their feedback on the usability, functionality, and overall fit of the tools for their specific needs. Check vendor references. Reach out to existing customers of the shortlisted AI tools to gather insights into their experiences with the tools and the vendors. This can provide valuable information on the tool's performance, reliability, and support in real-world scenarios. Calculate the ROI. Based on your evaluation, estimate the ROI for each AI tool by comparing the expected benefits, for example, time savings, cost reductions, improved decision making, against the costs of implementation, integration, and maintenance.

29:11Make a decision and negotiate terms. Select the AI tool that best meets your requirements, delivers the highest ROI, and aligns with your organization's strategy. Negotiate the terms of the agreement with the vendor, including pricing, support, and any customization or integration requirements. Plan and execute the implementation. Develop a detailed implementation plan that includes timelines, resources, training, and change management strategies. Engage with stakeholders throughout the implementation process to ensure a smooth transition and adoption of the AI tool. Great answer. I think you've provided a really well-defined process.

29:49And I would like to add from my personal experience, for many years now, I've been using this spreadsheet that I've developed that I've used in my companies, as well as companies that have helped through the years have used it. That spreadsheet is built to help companies choose the right technology tools. And it was way before the age of AI tools, but it works just as well. What that spreadsheet has, it has several different columns. And the first column really defines the needs. If you want, it's a list of features that you need to have in a specific product to help you in specific tasks that are attached to business goals that you're trying to achieve.

30:23And then next to that, in the second column, there is a grade of high, medium, low priority, meaning how much do you really need that capability in order to achieve the goals that you're trying to achieve? Is it mandatory? Is it something that has to be there for you to really achieve the goals? Or is it just a nice to have thing? It's just a high, medium, low definition. And then there are two columns for a short list of people that are actually evaluating the tools to give two scores. The first one is how well that specific tool solves that specific problem. And it's on a one through five scale.

30:59And then the second column is how easy it is to get the results for that particular required feature in the implementation of that particular tool. And then what the spreadsheet does is it really takes the weights of the priority and combines them with a score of the people who are evaluating it in order to give a weighted score on how well that particular tool gets related to the importance of that particular feature or capability to the organization and its success. And in the last column, there's a place to put comments and remarks by the people doing the evaluation. So what you end up in the end is both a qualitative and a quantitative analysis of a tool, aligning it with the needs of the organization.

31:43On the second tab of that spreadsheet, there's a place to do a analysis of the cost, how many licenses you need, how many seats, and so on. So you can also compare the cost and not just the capabilities. And then in the end, you combine these things, qualitative data, quantitative data, and the cost in order to make an educated decision on what tools you want to use. And you can build a sheet like that yourself, and you can use it to evaluate any tools, but also AI tools as well. Thank you for sharing your experience and insights. It's always helpful to learn from real world examples and strategies that have proven to be successful.

32:19Now let's switch gears and look at the implications of AI to the society and not just to business. And let's start with something that's still close to business, which is the global workforce. AI tools even today can do a very wide range of tasks extremely well, and they're getting better literally every single day. And a lot of jobs are already being lost right now to AI capabilities, and that's obviously going to get worse and worse as time moves on. And I really want your opinion on where do you think this is going, how bad is going to be the impact and the job loss by the implementation of AI technology?

33:00While I cannot provide exact numbers, it is clear that AI and automation will have a significant impact on the global workforce in the coming years. The extent of job losses due to AI depends on various factors, including the pace of AI technology adoption, the speed at which industries adapt, and how governments and institutions respond to these changes. Some studies have estimated that millions of jobs could be at risk globally due to AI and automation. However, it's important to note that these predictions are subject to uncertainties and should be taken as approximations. That said, the impact of AI on the job market will not be uniformly negative.

33:39While some jobs may be lost, others will be created or transformed as new industries emerge and existing industries evolve. As AI and automation become more prevalent, there will be an increasing demand for skilled workers who can develop, manage, and maintain these technologies. Additionally, new job opportunities may arise in fields such as AI ethics, data privacy, and AI-specific regulations. To mitigate the negative effects of AI on the workforce, it is essential for businesses, governments, and educational institutions to invest in re-skilling and up-skilling programs. These initiatives can help workers adapt to the changing job market, ensuring that they have the necessary skills to thrive in an AI-driven world.

34:23Moreover, there should be a focus on promoting lifelong learning and fostering a culture of adaptability and innovation, as these will be crucial in helping individuals navigate the evolving employment landscape. In summary, while AI will undoubtedly lead to job losses in some areas, it also has the potential to create new opportunities and transform existing industries. The key to managing this transition effectively will be ensuring that workers have access to the resources, education, and support they need to adapt to the changing job market. While I agree that jobs are also going to be created, my fear is, and the fear of many others who are way smarter than me, is the pace that this is happening.

35:06And the way I think it may roll out is that we're going to see a huge wave of job losses that will be followed by a gradual increase in job creation, which is obviously a huge problem to the world. What do you think about that? Yes, that is a valid concern. In the initial stages of AI adoption and automation, there might be a significant wave of job losses as businesses and industries adapt to new technologies. The transition period can be challenging, as the creation of new jobs might not happen quickly enough to offset the immediate job losses. However, it is essential to recognize that the impact of AI on jobs will be different across industries and regions.

35:51Some sectors may experience a more rapid displacement of jobs, while others might see a slower pace of change. Moreover, the speed at which new jobs are created will also depend on various factors, such as government policies, investments in education and training, and the overall economic climate. To minimize the potential negative impacts, it is crucial for governments, businesses, and educational institutions to collaborate and proactively plan for this transition. Some possible measures include investing in reskilling and upskilling programs to help affected workers transition to new jobs or industries, encouraging and supporting the development of new industries and sectors that can create employment opportunities, implementing social safety nets and assistance programs to support workers who lose their jobs during the transition period, fostering a culture of lifelong learning and adaptability, enabling individuals to better navigate the changing job market.

36:45While it is likely that there will be some initial challenges and disruptions, proactive planning and collaboration can help mitigate these risks and ensure a smoother transition to an AI-driven economy. Let's dive deeper into my concerns to some of your suggestions. First of all, I think there's a huge concern in the access or the lack of access to AI technologies to different areas in the world, different components in the population, different and specific companies. The other issue that I see with your suggestion for reskilling and upskilling of employees is the older generation that I think will have a serious problem with adapting to the speed that the things are happening in the AI world.

37:25And hence, the reskilling of a huge part of the population will be very hard or almost impossible. What are your thoughts on that? These are valid concerns. The growing technological divide and the challenges faced by the older generation in adapting to AI-driven changes are significant issues that need to be addressed. Regarding the technological divide, unequal access to AI technologies can exacerbate existing inequalities and create new ones. To address this issue, governments, businesses, and nonprofit organizations should work together to promote digital inclusion by ensuring that everyone has access to the necessary digital infrastructure, such as high-speed internet and affordable devices.

38:08Foster digital literacy by investing in education programs and resources that help people understand and navigate digital technologies, including AI. Support small and medium-sized enterprises, SMEs, in adopting AI technologies, as they often lack the resources and expertise to compete with larger corporations in this area. For the older generation, the challenges of reskilling and upskilling can be more pronounced. However, it is crucial not to underestimate their potential for learning and adapting. To facilitate the process, some strategies can be employed. Design age-friendly education and training programs that cater to the learning preferences and requirements of older adults.

38:50Leverage the experience and expertise of older workers by providing opportunities for mentorship, knowledge transfer, and intergenerational collaboration. • Encourage companies to adopt age-inclusive hiring practices and provide a supportive work environment that values employees of all ages. • Implement social safety nets and financial support programs for older workers who face challenges in adapting to the changing job market. In conclusion, addressing the technological divide and the challenges faced by the older generation will require a concerted effort from various stakeholders. By working together and implementing targeted strategies, it is possible to create a more inclusive and equitable AI-driven economy that benefits everyone.

39:36Well, your suggestions are great in theory, but I think it will be very, very hard to implement some of them and sometimes impossible to implement them. And if we look at recent research that was done by credible groups like the World Economic Forum, McKinsey and Goldman Sachs, hundreds of millions of jobs are going to be lost within the next few years. And some predicts that 40 to 60 % of jobs globally will be taken over by AI by 2030, which is just around the corner. So what do you think is going to be the social impact and the socioeconomical impact of such a huge wave of job losses? As a world expert in social and socioeconomic research, considering a worst-case scenario, the potential social and socioeconomic impacts of massive job losses due to AI could be quite significant.

40:24Here are some of the potential consequences. Increased income inequality. The rapid displacement of jobs could lead to an even wider income gap between those who possess the skills to work with AI and those who don't. People who are unable to transition to new roles could face prolonged unemployment, underemployment, or be forced into lower-paying jobs. Social unrest High unemployment rates and increased income inequality can contribute to social unrest, as affected individuals and communities may feel marginalized and left behind. This could lead to protests, increased crime rates, and political instability in some regions.

41:01Strain on social welfare systems A significant increase in unemployment could put immense pressure on social welfare systems as more people rely on unemployment benefits, health care, and other social services. This could lead to higher taxes and reduced funding for other essential public services, such as education and infrastructure. Mental health issues, unemployment, and financial insecurity can contribute to increased stress, anxiety, and depression. In the long run, this could lead to a decline in overall mental health and well-being for many individuals. Reduced social mobility, the rapid pace of job displacement could make it more challenging for individuals to climb the socioeconomic ladder, as traditional pathways to upward mobility, like education and job training, may not be sufficient to keep up with the changing job market.

41:50Geopolitical tensions. As countries compete for dominance in AI and other advanced technologies, there could be an increase in geopolitical tensions as nations strive to protect their interests and maintain economic stability. It's essential to recognize that these potential consequences represent a worst-case scenario, and proactive measures can be taken to mitigate these risks. By focusing on education, reskilling, and upskilling programs, fostering collaboration between governments, businesses, and educational institutions, and implementing social safety nets, it is possible to minimize the negative impacts of AI-driven job displacement and create a more inclusive and equitable future.

42:34While I think your suggestions are great, I think there's a huge gap between the speed in which this revolution is happening and the reaction times of educational systems and governments. Because educational systems and governments usually take years to implement any change and we need to mitigate those risks within the next weeks or months, or it's going to be too late. So I'm asking you, who do you think are the right groups and organizations that can lead this mitigation process in order to implement it successfully and not depend on governments or traditional educational systems? You raise a valid concern about the gap between the speed of AI advancements and the slower pace of education and government adaptation.

43:19In order to address this issue, It is essential to involve a diverse set of stakeholders who can work together to drive change and create a more inclusive and equitable future. Here are some key players who should be involved. Private sector. Companies developing and deploying AI technologies have a responsibility to consider the potential impacts on society and the workforce. They can invest in training and reskilling programs for their employees, collaborate with educational institutions to develop relevant curricula, and create new job opportunities in AI and related fields. Nonprofit organizations, NGOs, and other nonprofit organizations can play a crucial role in raising awareness about the potential implications of AI on the workforce and society.

44:03They can also develop programs and initiatives that address job displacement, income inequality, and other related issues. academia and research institutions. Universities, think tanks, and research institutions can contribute to the understanding of AI's potential impact on society and the economy. They can also work on developing new educational models and training programs that are better suited for the rapidly evolving job market. Governments. While governments may traditionally be slower to adapt, they have a critical role to play in creating policies, regulations, and social safety nets that address the potential consequences of AI-driven job displacement.

44:43Governments can also invest in public education, workforce development programs, and provide incentives for businesses to develop and adopt AI technologies responsibly. International organizations, organizations like the United Nations, World Bank, and World Economic Forum can facilitate global cooperation and knowledge sharing on AI-related challenges and opportunities. These organizations can promote best practices, coordinate efforts, and support initiatives aimed at mitigating the negative impacts of AI on society. Individuals. People need to be proactive in adapting to the changes brought about by AI by continuously learning and upskilling.

45:23Embracing a mindset of lifelong learning can help individuals stay relevant and employable in the evolving job market. Ultimately, addressing the potential negative consequences of AI on the workforce and society requires a collaborative, multi-stakeholder approach. By working together, these stakeholders can create a more resilient and inclusive future that leverages the benefits of AI while minimizing its potential risks. I promised to the listeners that we're going to end on a very positive note because there's amazing positive impacts of AI. But before that, I have one last concern I want your opinion on.

45:59And that's the erosion of the concept of truth and trust. AI tools today, I'm not even talking about what's coming in the next wave, allow you to generate highly realistic content, videos, photos, texts, and basically allowing you to fabricate any digital truth you want. Combine that with the ability on social media for anybody to post anything anywhere on a very large scale. And that can lead to basically anybody who has any intent to achieve anything to create facts and distribute them across multiple digital channels in order to substantiate them and then use them in order to promote whatever agenda they have, whether it's a social agenda, business agenda, political agenda.

46:40And I think we're going into an era where the concept of truth is going to be significantly eroded and the trust on which our society is built on is going to get a massive hit. What do you think about that? The erosion of truth and trust due to AI-generated content and misinformation has the potential to create significant challenges for society. Some of the key impacts include polarization and fragmentation. Misinformation and deepfakes can contribute to the polarization and fragmentation of society by reinforcing existing beliefs and biases, driving wedges between different groups, and making it harder for people to find common ground or engage in constructive dialogue.

47:25Undermining democracy. The spread of false information and deepfakes can undermine the democratic process by influencing public opinion, promoting conspiracy theories, and discrediting legitimate news sources. This can lead to voter manipulation, decreased trust in institutions, and reduced civic engagement, increased mistrust in media. as it becomes harder to distinguish between real and fake content, people may become more skeptical of all media sources, even those that are reliable and trustworthy. This can lead to a general decline in trust in journalism and the media as a whole. Negative impact on personal reputations.

48:05AI-generated content can be used to create false narratives about individuals, potentially damaging their personal and professional reputations. This can have long-lasting consequences for affected individuals, even if the fake content is eventually debunked. Cybersecurity and Privacy Concerns AI-generated content can be used for nefarious purposes, such as identity theft, fraud, and espionage. The increasing sophistication of deepfakes and other AI-generated content makes it more difficult to detect and prevent such activities. Legal and Ethical Challenges The proliferation of AI-generated content and deepfakes raises complex legal and ethical questions around free speech, privacy, and intellectual property rights.

48:52Existing laws and regulations may not be sufficient to address these challenges, necessitating new frameworks and guidelines. To mitigate these impacts, it is essential for various stakeholders, including governments, technology companies, media organizations, and individuals, to work together to develop strategies and solutions. These may include investing in research to improve detection and authentication technologies, promoting media literacy and critical thinking skills, implementing stricter regulations around the creation and dissemination of AI-generated content, and fostering collaboration between different sectors to address the challenges posed by the erosion of truth and trust.

49:34Okay, this is obviously truly scary. And I really hope that by you and me and other people sharing this and having this conversation, it will raise the awareness and will somewhat reduce the risks of the things that we just mentioned. But as I promised, I want to end up on a very positive note. So I want you to list out the positive impacts that AI can have and most likely will have on the human race and society as a whole. AI has the potential to bring about numerous positive social and economic impacts. Some of the key benefits include improved efficiency and productivity. AI can automate various tasks, enabling businesses and individuals to work more efficiently, reduce errors, and increase productivity.

50:17This can lead to economic growth and improved living standards, enhanced decision-making. AI can process and analyze vast amounts of data, helping individuals and organizations make better informed decisions in various fields, including healthcare, finance, education, and transportation. Personalization. AI can customize experiences, products, and services to better meet individual needs and preferences, leading to improved customer satisfaction and more effective marketing strategies. Medical advancements. AI can help revolutionize healthcare by assisting in the development of new treatments, improving diagnostics, and streamlining healthcare processes.

50:58This can lead to better patient outcomes and potentially save lives. Environmental sustainability, AI can contribute to a more sustainable future by optimizing energy consumption, supporting the development of clean technologies, and helping to manage natural resources more effectively. Education and skill development, AI can enable personalized learning experiences and provide targeted support to students, improving educational outcomes and helping to bridge the skills gap. Enhanced creativity and innovation. AI can augment human creativity by providing new tools and techniques for artistic expression and problem solving, fostering innovation across various domains.

51:38Poverty reduction and economic equality. AI can help address global challenges such as poverty, inequality, and unemployment by facilitating access to resources, education, and economic opportunities. Improve public services. AI can help governments deliver better public services by streamlining processes, optimizing resource allocation, and enabling more effective policymaking. Global collaboration. AI can help break down barriers between countries, cultures, and industries, fostering global collaboration and shared problem solving. It is essential to strike a balance between leveraging the positive aspects of AI and addressing its potential risks and challenges.

52:20By doing so, we can work towards a future where AI is used to enhance human capabilities and improve the overall quality of life for people around the world. Wow, Emilia, this is the perfect note to end this conversation on. I would like to really thank you for being our guest today, for taking the time and sharing with us. and we will certainly do this again and dive to additional topics together. Thank you so much. Thank you, Isar, for having me on the Leveraging AI podcast. It has been a pleasure discussing the potential of AI and its impacts on businesses and society with you. I'm glad we could explore both the challenges and opportunities that AI presents.

52:56I look forward to future conversations and diving deeper into specific topics. If you or your listeners have any more questions, feel free to reach out anytime. Thanks again. Okay, this was definitely one of the weirdest, most exciting and scarier interviews that I've done. And I've been interviewing people for the last three and a half years. I really hope this conversation has touched you one way or another, either in things you need to do in your business, or in having a better understanding of the future we're walking into, whether it's scared the hell out of you or really excited you or a little bit of both.

53:30this is where we're heading and having these conversations is really, really important. And that was the goal of this episode. I must say from a very personal perspective that this was a very interesting experience for me because conversing with a machine that in theory, all it knows is to guess the probability of the next word in the most effective way. And yet it truly feels like you're talking to somebody who's extremely educated and knowledgeable about the topics I asked it to talk about and even putting in the personalization of giving me great feedback on the questions that I asked. It's remarkable and it's incredible.

54:08And I personally, I'm a huge believer in this technology. I have serious concerns, as you can understand from my questions, on the global social aspects of it, which hopefully together by having these kinds of conversations, we're going to resolve. If you haven't done it so far, I would really appreciate it. If you subscribe to this podcast, I promise you to bring really helpful practical tips while making you aware of what's coming in the AI world. Share it with people who can benefit from this. And if you enjoy this, give me five-star rating and write a review on the platform you're on. And let's stay educated together.

54:43Connect with me on LinkedIn. Share with me any questions or knowledge that you have about AI, business, and society, and I would gladly address it on the next shows. And lastly, I want to thank you for taking the time of listening to the show. I know that you have a lot of choice and there's a lot of other shows you can listen to or other things that you can do. And I don't take this lightly. I promise you in this show and in future episodes of this podcast, I'm going to do everything that I can to provide you the best possible content to make it worthwhile for you investing the time in me. Thank you again.