Kozminski Techblog

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“Documented evidence of the potential of AI acting as (a) an enabler or (b) an inhibitor on each of the SDGs- Sustainable Development Goals. The numbers inside the colored squares represent each of the SDGs (see the Supplementary Data 1). The percentages on the top indicate the proportion of all targets potentially affected by AI and the ones in the inner circle of the figure correspond to proportions within each SDG. The results corresponding to the three main groups, namely Society, Economy, and Environment, are also shown in the outer circle of the figure. The results obtained when the type of evidence is taken into account are shown by the inner shaded area and the values in brackets. ” (Vinuesa, R., Azizpour, H., Leite, I. et al. The role of artificial intelligence in achieving the Sustainable Development Goals. Nat Commun 11, 233 (2020).)

Sustainable Development Goals- SDGs

As it can be seen on the graphs above AI has more positive impact on SDGs than negative, howevere this negative influence should not be forgotten.

The rise of artificial intelligence (AI) is shaping a growing number of industries in both long and short term.

Lets start why the graphs showed such negative impact of AI. According to the article self interest can be expected to bias the AI researchers towards publishing positive results and discovering the impact and strenth of ai mpact on SDGs may require longer-term studies.

Moreover, I believe there may be more negative impact on equality SDG (10) and education SDG(4) as I discussed these topics in my previous articles. In summary, AI may lead to job displacement (teacher) as well as it may even increase the inequalities in education as the educational and tech tools are not distributed equally through the world so well developed countries would benefit from AI highly and less developed ones would sufer from the lack of resourcer and it would more and more difdficult to catch up.

Lets move on to the positive aspects as the negative are cleared out.

An example of how AI is being used to address environmental challenges is the United Nations Environment Program’s Global Environment Situation Room (WESR), which uses AI to analyze complex and multi-layered datasets to provide near real-time analysis and future predictions on multiple factors make including CO2 atmospheric concentration, changes in glacier mass and sea level rise according to UN. Similarly, the European Space Agency (ESA) uses AI to analyze satellite data to predict and to monitor natural disasters.

Carbon emissions

Artificial intelligence is being used to reduce CO2 emissions in various sectors. For example, AI-based energy management systems are used to optimize energy consumption and reduce CO2 emissions in buildings(AI tries to decrease the emission of CO2 by analyzing data from various sources such as weather forecasts, occupancy rates, and energy usage patterns as BCG states).

Agriculture and AI

Moreover, I believe that agriculture has huge impact on CO2 emission as well as appropriate and adequate farming practices may lead to higher sustainability. So lets focus on this for a moment. According to UN AI has a positive impact on reducing CO2 emission in thisn sector.

• Agricultural technology: Sensors and drones equipped with artificial intelligence can gather information about soil moisture, temperature, and nutrient content. This information can be utilized to maximize crop production and minimize water consumption.
• Agricultural surveillance: Artificial intelligence systems can study pictures taken from space to check the condition of crops and identify illnesses in the early stages. This allows farmers to take remedial action before the sickness spreads further.
• The supply chain can be improved using artificial intelligence algorithms. These algorithms can forecast product demand and decrease excess inventory. By predicting how much inventory is needed and reducing overproduction, the supply chain becomes more efficient. The AI systems analyze data to determine optimal production levels and inventory needs across the supply chain. This allows for a leaner, more responsive supply chain with less waste.

sources:

aichating.net (with prompts such as: please give me ideas for a blog post about ai or tech invoations, please expand what you meant with ai in environment, give me more examples how ai influences sustainability)

https://doi.org/10.1038/s41467-019-14108-y

https://www.unep.org/news-and-stories/story/how-artificial-intelligence-helping-tackle-environmental-challenges

https://www.bcg.com/publications/2021/ai-to-reduce-carbon-emissions

https://intellias.com/artificial-intelligence-in-agriculture/

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Education is not an exception to how artificial intelligence (AI) has changed the game in recent years in a number of industries. Artificial Intelligence (AI) holds great promise to transform education by analyzing large volumes of data and identifying trends. We will look at the various ways that artificial intelligence (AI) can improve learning experiences in education in this blog article.

I. Personalized Learning: AI can adjust educational materials and content to each student’s unique needs in order to personalize the learning process. Smart tutoring programs are able to evaluate student performance, pinpoint areas for development, and modify lessons accordingly. This gives students the freedom to learn at their own speed which is important for their development as eacvh one of us is different and standarlized learinng may not be beneficial for everyone.

However, there is a risk of over-reliance on AI algorithms and neglecting the importance of human interaction in education. The personal touch and individualized support provided by teachers is crucial as AI does not have this human like thinking and students, especially children need it. Moreover, teachers in school are thought to be also to some extend responsible for preparing kids to enter society and adulthood and al this left to AI may not end up so good.

II. Improved Collaborative Learning: In both real and virtual classroom environments, AI-powered tools and platforms promote collaborative learning. Virtual assistants and intelligent chatbots can answer questions from students and give them immediate feedback. Additionally, instructors can promote productive teamwork and raise student engagement levels by using AI algorithms to assess interaction patterns in collaborative contexts.

However, there is a threat of bias and discrimination as AI algorithms are only as good as the data they are trained on. If the data used to train AI systems reflects societal biases, these biases can be perpetuated by the AI, leading to biased assessment, grading, or decision-making processes in education.

III. Intelligent Content Creation and Curation: By using AI algorithms to create interactive exercises, worksheets, and quizzes, instructors may create content without having to spend as much time creating it themselves. Furthermore, AI has the ability to select and suggest relevant learning materials based on the unique profiles of each student, guaranteeing that they have access to excellent resources that suit their requirements and preferences.

However, due to this there is a threat of job displacement within the education sector. Tasks such as grading, administrative work, and even some teaching functions could be automated, leading to job losses or a reduced need for human educators.

IV. Data-Driven Decision Making: AI provides policymakers and educational institutions with insightful information gleaned from large-scale data analysis. With the use of predictive analytics, educational institutions can make data-driven decisions to enhance systemic learning outcomes by anticipating student requirements, allocating resources more effectively, and identifying patterns and trends.

However, this requires big databases of data which may lead to data privacy concerns: AI relies on gathering and analyzing vast amounts of data to operate effectively. This raises concerns about the privacy and security of student data, as well as the potential misuse or mishandling of sensitive information.

In conclusion, artificial intelligence has enormous potential to change education. AI has the power to improve teaching and learning processes, which will benefit both students and educators. However, as I also showed the threats of AI in education this concept has many pros and cons and brings both benefitsd and threats.

AI used: bing AI with prompts “can you give me ideas about education and ai” “how ai impacts schols” “how education can benefit from AI” “threaths of ai in education”

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In this blog post I want to explore how AI impacts art. But to start…

• How to even create AI art?

Well, there are many wasy to do this. The most popular way is puting a text prompt to Ai image generator and after a few secs you get an image (example below). There are many sities you can use as Gencraft, DeepAI, Pixlr.

or even from simple shapes to image! Basically you draw simple shapes like circles and AI image generator gives you a masterpiece.

There are many other ways as putting a real picture of an object and AI changes it, using negative prompt weights, creating an image by expaning an already exisiting one.

But more about, the business context of AI in art. And if you want to read more about techinical part how AI creates art basing on data sets and how it mixes the pixels to create something new what this – https://youtu.be/SVcsDDABEkM?si=obaMSNGYdHPF5TFb

• Lets think about the job market of artists.

So, nowadays anyone can create art (even tho AI generated art). So do we still need artists? or are they going to disappear? Is it even worthy to become a traditional artist in the era of AI?

Let me start by telling a story. One day I was scrolling through Instagram and came across an account that sells their art. Out of curiosity, I checked out their work. They were really well done, it looked like they knew a lot about creating conceptual graphics, colour theory and so on. They also sell their art as artist commissions, so I understand they have some kind of business. However, when I read what they wrote underneath their posts, it appeared that all their art was AI art. A lot of people in the comments were angry at this person because it’s AI art, anyone can do it, they shouldn’t take money for it and so on. Later I did some research, visited more artists’ accounts on ig and saw that many of them expressed their opinion about AI art. The conclusion is that many of the human artists I came across are against AI-generated art, saying that they had to spend many hours to learn how to draw and create art, and yet they don’t earn as much as AI artists who generate an image in seconds and make a lot of money. There are also accounts that promote human artists to combat AI artists.

Well, I understand the fact that human artists may be against AI art because it doesn’t require the same skills, for example, small Instagram artists may feel angry that they put so much effort to get at least one commission, while Ai artists just generate it and get more likes, commissions and so on. But I think artists shouldn’t forget that they can benefit from AI-generated images. They can put a hint of what they want to draw, generate 10 images and get inspiration from them.

Moreover, I believe that concept artists will not disappear, at least now. It takes so much more than just generate an image to create eg new caracter for a game like their background, whole lore, characters personality.

• Looking at this from a business context …

It’s fair to say that if artists don’t keep up with the revolution in the way art is created, they may struggle. It takes hours or even days to create a single piece of art, such as a graphic for a game. Using AI artists can speed up the process. As I mentioned earlier, they can take inspiration from AI-generated images, which speeds up the process of thinking about and creating an entire character from scratch. They can be inspired by interesting perspectives, clothes, facial characteristics. So they can take on more commissions, they can create more products, so they can make more money, but they need to be skilled, so this job market remains the same, artists need to be skilled and have a certain amount of knowledge – not everyone and not so quickly can become a concept artist. To succeed as an artist, you should definitely look at the opportunities of the changing world and new technologies and take advantage of them. Moreover, businesses may be sceptical to hire only AI artists as it is very controversial, so the human artists will not disapear for now. If businesses would hire only AI artists it would drastically change the job market leading to lose of jobs of human artists therefore if youre an artists it is important to keep up with the news how and who the companies hire to react it if turn out that ai artists become more popular.

Sources:

1. https://www.theguardian.com/technology/2022/nov/12/when-ai-can-make-art-what-does-it-mean-for-creativity-dall-e-midjourney
2. https://www.science.org/doi/10.1126/science.adh0575
3. https://www.bbvaopenmind.com/en/articles/artificial-intelligence-and-the-arts-toward-computational-creativity/
4. https://youtu.be/5Viy3Cu3DLk?si=mqha39FCtHxu7Pab
5. https://youtu.be/9xJCzKdPyCo?si=5zAO6uZHI3PBgZ_P

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AI is everywhere- from its impact on healthcare, businesses to even content creation on social media. How do influences, businesses or any other people use AI to enhance their efficiency and effectivness in posting, gaining followers/customers and connecting with them?

Automating content creation (Cohesive).

New AI tools can help businesses and content creators to efficiently and effetively come up with new ideas and even prepare then and post. It can also generate posts, compose emails and blog posts.

Accorinding to the articale from Forbes, it is essential to balance generative AI autonomation and creative human input. I think that it is very true that businesses should not forget about human input in the world on AI. It helps to personalize content and refer to the businesses core principales more closely and creatively as well as to avoid copyright infirigement and respect legal restrictions.

Language translation (HeyGen).

Breaking language barriers is a crucial step in order to reach global audience. Learning a language with proper accent so that other can understand you is very time consuming. Thanks to the AI development, nowadays, each person can easly translate their speech into any language they need. HeyGen is a langauge translation tool that allows businesses and content creators post videos on social media in any language they want. It is not only able to translate what you are saying in real time but also it harness to power of natural language processing, and analyses the context of the speech in order to provide the most similar translation to the original speech. Most importanly, it translates in real time allowing for quick and effective communication. It is an extermaly useful in in businesses, for content creation on social media as it allows for reaching global audience. It makes one of the most important aspect of growing a business on social media possible easier- communication with clients and partners. According to the 2nd acticle listed below, it is very cost effective as it allows businesses to save money by reducing the need to hire human translators and and localization experts. However, I think as it as useful to some businesses as destructing to others. Many businesses that specialize in specifically translation may fail as well as people that work as translators may be forced to change their field of specialization as their skill will no longer be needed. I stronly agree with one of the posint from this article, that states that the customer experience will be improved. Everyone will be able to understand the businesses message on social media.

AI talking avatars.

AI talking avatras are virtual characters that can communicate with customers, deliver information. Businesses and content creators can write the speech and choose the language in which the message will be delivered. This allows people to create content and create businesses without showing their real face. They can also analyze data and customers preferences which allows them to tailor the geastures and tone of talking. However, there are some ethical considereations. Accoring to the 3rd article linked below these avatars must be trained to avoid bias and ensure equal and fair treatmenat for all users. I think that in todays world its okay to use such tool as they save time and businesses can focus on its core activities, however it should be noted under such videos that they are using AI talking avatar or that the text is AI generated. Moreover, in the artcicle there is a question who holds responsibility for AI mistakes and in my opionion each video or text generated by AI should be checked by businesses or content creators in order to minimalize the probability of posting something wrong, rasict, incorrect and it the businesses did not check it then it is their responsibility.

Sources used:

https://aicontentfy.com/en/blog/impact-of-ai-on-content-translation-and-localization

https://www.forbes.com/sites/theyec/2023/08/17/generative-ai-for-content-creation-how-marketers-can-use-it/

https://www.revenuemarketingalliance.com/ai-talking-avatars-customer-interactions-and-engagement/

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Have you ever thought why the world of business is evolving so rapidly?

One of the main driving forces behind this transformation is the integration of Artifical Intelligence (AI) and Machine Learning (ML) into business operations. These tool are used in many fields of the business, from data collection and analysis, supply chain management to customer service. It does not only allows business to improve and develop but also save costs in a long run and reduce errors.

Which, and how, business operations are infuenced by AI and ML?

Market Research and Competitive Analysis. These tools can help your business to quicker, more effective benchmark yourselfs against competitors. Moreover, according to Pierce Denning, thanks to ML alghoritms businesses can gather data, detect patterns and trends about eg. customer behaviour and market trends from wide variety of sources such as financial documents (sales records, balance sheet), social media platforms or customers feedbacks. Thanks to this business can save time and costs (as the labour-intesive tasks like data analysis are done by AI) that can be used for core operations, and yet, have the data in which areas business excel and fall short comparing to competitors, which gives opportunity for improvement. However, as Denning claimed, it is important to be careful while collecting customer data based on AI and ML findings to avoid running afoul of regulations eg. General Data Protection Regulation (GDPR). I think that Denning made an amazing point that AI can take over data analysis, however, in my opinion, it should be very carefully monitored by employees as to what extend can we trust AI to collect appropriate, true, up to date, objective data? One word in a question can change the whole sense of the task given to AI, and depending how the question is structured it may give us biased data.

Supply Chain Optimization. According to Chat GPT, ML can put supply chain management on a different level. More accurate prediction about demand, optimization of inventory levels and suggestion of the most suitable routs for transport can minimalize delays, reduce costs and ensure that producs are available when needed. Thanks to this, business may be able to implement lean production as well as just in time (JIT) stock control. It is a great way into becoming more sustainable and it seems as AI and ML are a game changer when it comes to supply chain optimization. However, ML and AI are just bots, not humans, and as they can analyse data more effectively and efficently, they do not fully understand emotions (sometimes emotions can lead to controverial events) eg. they may miss an important event that is very emotionally driven which will lead to higher demand of a specific product and if none of employees check it, then the business may lose opportunity for growth, as the AI and ML did not take into consideration this event while predicting product demand.

Improved customer service. As AI can be seen in almost every sector of business, it can be also found in customer service sector. You have probably came across virtual assistant even on your phone. Well, businesses implement virtual assistants and chatbots even in their services. As Denning said, they are powered by Natural Language Processing (NLP). It plays a huge role in B2C sectors. Businesses can provide 24/7 support for customers. They do not also answer questions but also may guide during the buying process, therefore it enriches the customer experience which is crucial in businesses brand image. Moreover, AI allows companies to analyse customer preferences, intrests, needs and behaviours in order to recommend them more appropriate products. However, here rises a question, to what extend is it moral and ethical to collect so much private data from all users? In some cases, customers accpet the regulations and agree to provide these data but then how much of our life is actually private. Also, should businesses inform customers that a bot is chatting with them? Some people may be sceptical to the idea of asking a bot or virtual assistant for help.

In conclusion, AI and ML has greatly impacted business operation. It allows businesses to save time and costs that can be used for development of core activities. Moreover, it can analyse more data and search for patters that humans may miss. However, there are many challanges and moral dillemas when it comes to this topic. To what extend can businesses trust AI and ML to provide reliable, not biased and accurate data when developing and changing business operations? In my opining, these tools greatly help businesses to grow and save costs, however, at this stage of AI and ML development, they should be still monitored by humans.

Sources used- https://www.linkedin.com/pulse/impact-artificial-intelligence-business-operations-pierce-denning-bs and Chat GPT

some prompts used in Chat GPT- ” please tell me more about personalization and Customer Experience when it comes to AI and ML in business operations”, “Please tell me more about Market Research and Competitive Analysis when it comes to AI and ML in business operations”, “blog post ideas about new tech trends in business”, “current trends in technology” “give me an idea for a blog post about new trends in tech industry”