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    Artificial Intelligence Certificate Courses: The Top 3 AI Certification Programs

    OPIT - Open Institute of Technology
    OPIT - Open Institute of Technology
    Jul 2, 2023 • 9 min read
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    When artificial intelligence (AI) first emerged, it was perceived as nothing more than a gimmick, an exciting sci-fi idea with no practical applications. It took a few decades to dispel these misconceptions. Still, considering the importance of AI today, they’re definitely ancient history.

    Since AI aims to simulate human intelligence processes like learning, reasoning, and creativity, it has found its way into numerous industries that rely on these skills to prosper. Healthcare, retail, security, and finance are just some industries that have experienced the benefits of AI firsthand.

    As AI permeates more and more of everyone’s daily lives, the need for highly skilled AI professionals is only growing. And if you are to take on a new career, AI is the way to go. This lucrative field offers seemingly endless job opportunities and a unique chance to shape the world’s future.

    If you’ve been eyeing the AI career path for a while, an AI certification course can help you get the hang out of the basics and enter this field with a bang. Even if you have experience with AI, there’s always something new to learn.

    Whatever the case, you’ll learn something valuable from each AI certificate course on this best-of list.

    Benefits of AI Certification Courses

    An AI certification course is an excellent way to immerse yourself in this technology and earn a helpful certificate in the processes. And that’s only the beginning. Check out some of the most appealing benefits of completing one of these courses.

    Enhancing Career Prospects

    Considering the ever-growing power of AI, it isn’t surprising that your prospective employers are some of the biggest tech companies and market disruptors. Google, Amazon, Microsoft, and Apple are just some tech giants looking for employees well-versed in AI.

    On top of that, getting certified in AI opens up a world of possibilities in terms of job prospects. Sure, you can be an AI engineer. But with these skills, you can also pursue a career as a data scientist, software engineer, machine learning engineer, and more.

    Staying on Top of the Latest AI Trends

    The AI field is constantly up to something new. Just when you think you’ve got it all figured out, a new AI craze appears and takes the world by storm. Taking the latest AI certificate course will allow you to stay on top of these trends and even stay ahead of them.

    Gaining a Competitive Edge in the Job Market

    The demand for AI doesn’t show any signs of slowing down. As people catch on, the field gets increasingly crowded by those seeking a sizeable paycheck. But being self-taught and getting certified in the field are worlds apart.

    With an AI certification course under your belt, your career prospects will look much better. Potential employers will perceive you as a worthy candidate from the get-go. Throw some hands-on experience into the mix, and your competitive edge will be off the charts.

    Improve Problem-Solving and Decision-Making Skills

    AI is all about tackling complex cognitive processes, such as problem-solving and decision-making. So, through learning the AI methodology, you’ll also work on these skills. And the best part is that these skills can benefit you in solving real-life problems and in other fields far beyond AI.

    Top AI Certification Courses

    If you’re keen on taking an AI course, you’ll have many choices online. Just search the words “AI certificate course” and see for yourself. However, only some courses you encounter will help you achieve your goals. To help you avoid wasting time and money, here are the top three AI certification courses and all the necessary information about them.

    1 – IBM Applied AI Professional Certificate

    If you’re new to AI, this is the AI certificate course for you. This beginner-friendly program will ease you into the world of AI, teaching you all the terms you’ll need to navigate this field.

    But don’t worry, that’s just the beginning. Afterward, you’ll dive into the practical portion of the course and learn how to build AI-powered tools, create virtual assistants, and apply computer vision techniques.

    During this program, you’ll explore the following concepts and tools:

    • Data science
    • Machine learning
    • Natural language processing
    • Image classification and processing
    • IBM Watson AI services
    • OpenCV
    • APIs

    At a pace of 10 hours a week, you’ll need about three months to complete this AI certificate course. Plus, you’re free to adjust this schedule, as the course is entirely self-paced.

    As for the fee, you can use Coursera’s free seven-day trial to start. Once those seven days are up, you’ll be charged $39 (a little over €36) monthly to continue studying.

    Complete the program, and you’ll earn an employer-recognized certificate from IBM demonstrating your technical proficiency in AI.

    2 – Artificial Intelligence A-Z

    You might be interested in this AI certificate course if you already have some basic Python knowledge. You’ll start with fundamental AI concepts but quickly move on to hands-on experiences. Learning how to make a virtual self-driving car, creating an AI to beat games, and solving real-world problems with AI are just some practical skills you’ll learn here.

    As the name implies, this course will take you from a beginner to an expert in specific AI skills. To achieve this, you’ll need to go through 17 hours of on-demand video lessons, 20 articles, and three additional resources.

    For a $99.99 fee (a little over €93), you’ll gain lifetime access to this course’s contents and receive a shareable certificate.

    3 – Artificial Intelligence Engineer (AIE) Certification

    Learners wanting to earn official certification in the AI field should look no further than this AI certification course. This course’s tagline is “The Qualification that Matters,” and it’s entirely true. After all, this course and the ensuing certification exam are offered by the Artificial Intelligence Board of America (ARTiBA), the world’s leading AI certification body.

    This AI certification course functions differently than other courses on our list. The main difference is that you take a certification test after completing the learning portion.

    The curriculum for this course includes the following topics:

    • Machine learning
    • Regression
    • Supervised and unsupervised learning
    • Reinforced learning
    • Neural networks
    • Natural language processing
    • Cognitive computing
    • Deep learning

    As you can see, this AI certification course leaves no stone unturned. But don’t let the complexity of the course scare you. Think of it as a path to acquiring highly sought-after skills and job-ready capabilities that will propel your career in AI forward.

    The entire program costs $550 (close to €513). Once you pay the fee and register, you’ll have 180 days to master the learning materials and prepare for the AIE certification exam.

    Factors to Consider When Choosing an AI Certification Course

    Exploring more AI courses beyond these top picks may seem enticing. But before you make a final decision, consider these factors when choosing your next AI certificate course.

    Course Content and Relevance

    Before starting your search, take some time to assess your current career goals. What AI field interests you the most? What skills do you lack for your dream job? Think of these and similar questions and clearly define what you want to get out of the AI certificate course.

    Once you do this, it’s only a matter of determining whether the course’s curriculum is relevant to your career path. Check the course’s description and see if it covers the topics you’re interested in. If it does, it passes the first elimination round.

    Course Duration and Flexibility

    The next factor is how well your chosen AI certificate course fits your lifestyle. If you’re a student, great; you probably have more wiggle room in your schedule. But you’ll have to find something more flexible if you’re already working and looking to switch fields or improve your AI skills.

    The course’s description will also help you in this regard. Check how long the course lasts, whether it’s self-paced, and how much time you must devote to it weekly. Only start the course if you can fully commit to it.

    Course Provider’s Reputation and Industry Recognition

    As important as the course’s content is, ensuring it comes from a reputable organization is also crucial. Universities like MIT and Harvard are a great way to go. Of course, you should also consider recognized names in the AI industry (Google, IBM, Microsoft, etc.)

    Sure, an AI certification course from these institutions looks better on your resume. But you can also rest assured that the content you’ll learn is high-quality, accurate, and up-to-date.

    Cost and Return on Investment

    You can find plenty of free AI courses on the internet. But if you want the best of the best (and receive a certificate at the end), be prepared to pay a course fee. Take one look at these fees online, and you’ll see prices ranging from €30 to thousands of euros.

    But be careful, as the more expensive courses aren’t necessarily better. What makes a high price tag worth it is a whole set of course features. So before paying any fee, research whether the knowledge, support, and certificate you’ll receive will secure many job opportunities in the future.

    Master AI and Transform Your Future

    With a high-quality AI certification course under your belt, there’s no stopping you in the computer science field. Choose your courses wisely, and you’ll always stay ahead of the competition in the job market.

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    • From the same author

      Il Sole 24 Ore: Integrating Artificial Intelligence into the Enterprise – Challenges and Opportunities for CEOs and Management
      OPIT - Open Institute of Technology
      OPIT - Open Institute of Technology
      April 14, 2025

      Source:

      Expert Pierluigi Casale analyzes the adoption of AI by companies, the ethical and regulatory challenges and the differentiated approach between large companies and SMEs

      By Gianni Rusconi

      Easier said than done: to paraphrase the well-known proverb, and to place it in the increasingly large collection of critical issues and opportunities related to artificial intelligence, the task that CEOs and management have to adequately integrate this technology into the company is indeed difficult. Pierluigi Casale, professor at OPIT (Open Institute of Technology, an academic institution founded two years ago and specialized in the field of Computer Science) and technical consultant to the European Parliament for the implementation and regulation of AI, is among those who contributed to the definition of the AI ​​Act, providing advice on aspects of safety and civil liability. His task, in short, is to ensure that the adoption of artificial intelligence (primarily within the parliamentary committees operating in Brussels) is not only efficient, but also ethical and compliant with regulations. And, obviously, his is not an easy task.

      The experience gained over the last 15 years in the field of machine learning and the role played in organizations such as Europol and in leading technology companies are the requirements that Casale brings to the table to balance the needs of EU bodies with the pressure exerted by American Big Tech and to preserve an independent approach to the regulation of artificial intelligence. A technology, it is worth remembering, that implies broad and diversified knowledge, ranging from the regulatory/application spectrum to geopolitical issues, from computational limitations (common to European companies and public institutions) to the challenges related to training large-format language models.

      CEOs and AI

      When we specifically asked how CEOs and C-suites are “digesting” AI in terms of ethics, safety and responsibility, Casale did not shy away, framing the topic based on his own professional career. “I have noticed two trends in particular: the first concerns companies that started using artificial intelligence before the AI ​​Act and that today have the need, as well as the obligation, to adapt to the new ethical framework to be compliant and avoid sanctions; the second concerns companies, like the Italian ones, that are only now approaching this topic, often in terms of experimental and incomplete projects (the expression used literally is “proof of concept”, ed.) and without these having produced value. In this case, the ethical and regulatory component is integrated into the adoption process.”

      In general, according to Casale, there is still a lot to do even from a purely regulatory perspective, due to the fact that there is not a total coherence of vision among the different countries and there is not the same speed in implementing the indications. Spain, in this regard, is setting an example, having established (with a royal decree of 8 November 2023) a dedicated “sandbox”, i.e. a regulatory experimentation space for artificial intelligence through the creation of a controlled test environment in the development and pre-marketing phase of some artificial intelligence systems, in order to verify compliance with the requirements and obligations set out in the AI ​​Act and to guide companies towards a path of regulated adoption of the technology.

      Read the full article below (in Italian):

      Read the article
      The Lucky Future: How AI Aims to Change Everything
      OPIT - Open Institute of Technology
      OPIT - Open Institute of Technology
      April 10, 2025

      There is no question that the spread of artificial intelligence (AI) is having a profound impact on nearly every aspect of our lives.

      But is an AI-powered future one to be feared, or does AI offer the promise of a “lucky future.”

      That “lucky future” prediction comes from Zorina Alliata, principal AI Strategist at Amazon and AI faculty member at Georgetown University and the Open Institute of Technology (OPIT), in her recent webinar “The Lucky Future: How AI Aims to Change Everything” (February 18, 2025).

      However, according to Alliata, such a future depends on how the technology develops and whether strategies can be implemented to mitigate the risks.

      How AI Aims to Change Everything

      For many people, AI is already changing the way they work. However, more broadly, AI has profoundly impacted how we consume information.

      From the curation of a social media feed and the summary answer to a search query from Gemini at the top of your Google results page to the AI-powered chatbot that resolves your customer service issues, AI has quickly and quietly infiltrated nearly every aspect of our lives in the past few years.

      While there have been significant concerns recently about the possibly negative impact of AI, Alliata’s “lucky future” prediction takes these fears into account. As she detailed in her webinar, a future with AI will have to take into consideration:

      • Where we are currently with AI and future trajectories
      • The impact AI is having on the job landscape
      • Sustainability concerns and ethical dilemmas
      • The fundamental risks associated with current AI technology

      According to Alliata, by addressing these risks, we can craft a future in which AI helps individuals better align their needs with potential opportunities and limitations of the new technology.

      Industry Applications of AI

      While AI has been in development for decades, Alliata describes a period known as the “AI winter” during which educators like herself studied AI technology, but hadn’t arrived at a point of practical applications. Contributing to this period of uncertainty were concerns over how to make AI profitable as well.

      That all changed about 10-15 years ago when machine learning (ML) improved significantly. This development led to a surge in the creation of business applications for AI. Beginning with automation and robotics for repetitive tasks, the technology progressed to data analysis – taking a deep dive into data and finding not only new information but new opportunities as well.

      This further developed into generative AI capable of completing creative tasks. Generative AI now produces around one billion words per day, compared to the one trillion produced by humans.

      We are now at the stage where AI can complete complex tasks involving multiple steps. In her webinar, Alliata gave the example of a team creating storyboards and user pathways for a new app they wanted to develop. Using photos and rough images, they were able to use AI to generate the code for the app, saving hundreds of hours of manpower.

      The next step in AI evolution is Artificial General Intelligence (AGI), an extremely autonomous level of AI that can replicate or in some cases exceed human intelligence. While the benefits of such technology may readily be obvious to some, the industry itself is divided as to not only whether this form of AI is close at hand or simply unachievable with current tools and technology, but also whether it should be developed at all.

      This unpredictability, according to Alliata, represents both the excitement and the concerns about AI.

      The AI Revolution and the Job Market

      According to Alliata, the job market is the next area where the AI revolution can profoundly impact our lives.

      To date, the AI revolution has not resulted in widespread layoffs as initially feared. Instead of making employees redundant, many jobs have evolved to allow them to work alongside AI. In fact, AI has also created new jobs such as AI prompt writer.

      However, the prediction is that as AI becomes more sophisticated, it will need less human support, resulting in a greater job churn. Alliata shared statistics from various studies predicting as many as 27% of all jobs being at high risk of becoming redundant from AI and 40% of working hours being impacted by language learning models (LLMs) like Chat GPT.

      Furthermore, AI may impact some roles and industries more than others. For example, one study suggests that in high-income countries, 8.5% of jobs held by women were likely to be impacted by potential automation, compared to just 3.9% of jobs held by men.

      Is AI Sustainable?

      While Alliata shared the many ways in which AI can potentially save businesses time and money, she also highlighted that it is an expensive technology in terms of sustainability.

      Conducting AI training and processing puts a heavy strain on central processing units (CPUs), requiring a great deal of energy. According to estimates, Chat GPT 3 alone uses as much electricity per day as 121 U.S. households in an entire year. Gartner predicts that by 2030, AI could consume 3.5% of the world’s electricity.

      To reduce the energy requirements, Alliata highlighted potential paths forward in terms of hardware optimization, such as more energy-efficient chips, greater use of renewable energy sources, and algorithm optimization. For example, models that can be applied to a variety of uses based on prompt engineering and parameter-efficient tuning are more energy-efficient than training models from scratch.

      Risks of Using Generative AI

      While Alliata is clearly an advocate for the benefits of AI, she also highlighted the risks associated with using generative AI, particularly LLMs.

      • Uncertainty – While we rely on AI for answers, we aren’t always sure that the answers provided are accurate.
      • Hallucinations – Technology designed to answer questions can make up facts when it does not know the answer.
      • Copyright – The training of LLMs often uses copyrighted data for training without permission from the creator.
      • Bias – Biased data often trains LLMs, and that bias becomes part of the LLM’s programming and production.
      • Vulnerability – Users can bypass the original functionality of an LLM and use it for a different purpose.
      • Ethical Risks – AI applications pose significant ethical risks, including the creation of deepfakes, the erosion of human creativity, and the aforementioned risks of unemployment.

      Mitigating these risks relies on pillars of responsibility for using AI, including value alignment of the application, accountability, transparency, and explainability.

      The last one, according to Alliata, is vital on a human level. Imagine you work for a bank using AI to assess loan applications. If a loan is denied, the explanation you give to the customer can’t simply be “Because the AI said so.” There needs to be firm and explainable data behind the reasoning.

      OPIT’s Masters in Responsible Artificial Intelligence explores the risks and responsibilities inherent in AI, as well as others.

      A Lucky Future

      Despite the potential risks, Alliata concludes that AI presents even more opportunities and solutions in the future.

      Information overload and decision fatigue are major challenges today. Imagine you want to buy a new car. You have a dozen features you desire, alongside hundreds of options, as well as thousands of websites containing the relevant information. AI can help you cut through the noise and narrow the information down to what you need based on your specific requirements.

      Alliata also shared how AI is changing healthcare, allowing patients to understand their health data, make informed choices, and find healthcare professionals who meet their needs.

      It is this functionality that can lead to the “lucky future.” Personalized guidance based on an analysis of vast amounts of data means that each person is more likely to make the right decision with the right information at the right time.

      Read the article
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      Francesco Profumo
      Francesco Profumo
      Avatar
      John Loewen
      Professor @OPIT, PhD in Computer Science, Former Professor @Chulalongkorn University and @Vancouver Island University. Location: Italy Teaches Computer Architectures (BSc).
      Karim Bouzoubaa
      Karim Bouzoubaa
      Professor @ OPIT, Professor of Data Science & AI @ Mohammed V University in Rabat, PhD @ Laval University. Location: Canada, Morocco. Teaches Programming courses (BSc).
      Avatar
      Khaled Elbehiery
      Professor @ OPIT, Senior Director & Network Engineer @ Charter Communications, Professor @ DeVry University and @ Park University. Location: USA. Teaches: Computer Networks (BSc).
      Lokesh Vij
      Lokesh Vij
      Professor @ OPIT, Software Engineer @ Symantec, Faculty @ Seneca College. Location: Canada. Teaches Cloud Computing courses (BSc), Big Data and Cloud Computing Infrastructure (MSc).
      Go to all authors

    Related posts

    Il Sole 24 Ore: Integrating Artificial Intelligence into the Enterprise – Challenges and Opportunities for CEOs and Management
    OPIT - Open Institute of Technology
    OPIT - Open Institute of Technology
    Apr 14, 2025 • 6 min read

    Source:

    Expert Pierluigi Casale analyzes the adoption of AI by companies, the ethical and regulatory challenges and the differentiated approach between large companies and SMEs

    By Gianni Rusconi

    Easier said than done: to paraphrase the well-known proverb, and to place it in the increasingly large collection of critical issues and opportunities related to artificial intelligence, the task that CEOs and management have to adequately integrate this technology into the company is indeed difficult. Pierluigi Casale, professor at OPIT (Open Institute of Technology, an academic institution founded two years ago and specialized in the field of Computer Science) and technical consultant to the European Parliament for the implementation and regulation of AI, is among those who contributed to the definition of the AI ​​Act, providing advice on aspects of safety and civil liability. His task, in short, is to ensure that the adoption of artificial intelligence (primarily within the parliamentary committees operating in Brussels) is not only efficient, but also ethical and compliant with regulations. And, obviously, his is not an easy task.

    The experience gained over the last 15 years in the field of machine learning and the role played in organizations such as Europol and in leading technology companies are the requirements that Casale brings to the table to balance the needs of EU bodies with the pressure exerted by American Big Tech and to preserve an independent approach to the regulation of artificial intelligence. A technology, it is worth remembering, that implies broad and diversified knowledge, ranging from the regulatory/application spectrum to geopolitical issues, from computational limitations (common to European companies and public institutions) to the challenges related to training large-format language models.

    CEOs and AI

    When we specifically asked how CEOs and C-suites are “digesting” AI in terms of ethics, safety and responsibility, Casale did not shy away, framing the topic based on his own professional career. “I have noticed two trends in particular: the first concerns companies that started using artificial intelligence before the AI ​​Act and that today have the need, as well as the obligation, to adapt to the new ethical framework to be compliant and avoid sanctions; the second concerns companies, like the Italian ones, that are only now approaching this topic, often in terms of experimental and incomplete projects (the expression used literally is “proof of concept”, ed.) and without these having produced value. In this case, the ethical and regulatory component is integrated into the adoption process.”

    In general, according to Casale, there is still a lot to do even from a purely regulatory perspective, due to the fact that there is not a total coherence of vision among the different countries and there is not the same speed in implementing the indications. Spain, in this regard, is setting an example, having established (with a royal decree of 8 November 2023) a dedicated “sandbox”, i.e. a regulatory experimentation space for artificial intelligence through the creation of a controlled test environment in the development and pre-marketing phase of some artificial intelligence systems, in order to verify compliance with the requirements and obligations set out in the AI ​​Act and to guide companies towards a path of regulated adoption of the technology.

    Read the full article below (in Italian):

    Read the article
    The Lucky Future: How AI Aims to Change Everything
    OPIT - Open Institute of Technology
    OPIT - Open Institute of Technology
    Apr 10, 2025 • 7 min read

    There is no question that the spread of artificial intelligence (AI) is having a profound impact on nearly every aspect of our lives.

    But is an AI-powered future one to be feared, or does AI offer the promise of a “lucky future.”

    That “lucky future” prediction comes from Zorina Alliata, principal AI Strategist at Amazon and AI faculty member at Georgetown University and the Open Institute of Technology (OPIT), in her recent webinar “The Lucky Future: How AI Aims to Change Everything” (February 18, 2025).

    However, according to Alliata, such a future depends on how the technology develops and whether strategies can be implemented to mitigate the risks.

    How AI Aims to Change Everything

    For many people, AI is already changing the way they work. However, more broadly, AI has profoundly impacted how we consume information.

    From the curation of a social media feed and the summary answer to a search query from Gemini at the top of your Google results page to the AI-powered chatbot that resolves your customer service issues, AI has quickly and quietly infiltrated nearly every aspect of our lives in the past few years.

    While there have been significant concerns recently about the possibly negative impact of AI, Alliata’s “lucky future” prediction takes these fears into account. As she detailed in her webinar, a future with AI will have to take into consideration:

    • Where we are currently with AI and future trajectories
    • The impact AI is having on the job landscape
    • Sustainability concerns and ethical dilemmas
    • The fundamental risks associated with current AI technology

    According to Alliata, by addressing these risks, we can craft a future in which AI helps individuals better align their needs with potential opportunities and limitations of the new technology.

    Industry Applications of AI

    While AI has been in development for decades, Alliata describes a period known as the “AI winter” during which educators like herself studied AI technology, but hadn’t arrived at a point of practical applications. Contributing to this period of uncertainty were concerns over how to make AI profitable as well.

    That all changed about 10-15 years ago when machine learning (ML) improved significantly. This development led to a surge in the creation of business applications for AI. Beginning with automation and robotics for repetitive tasks, the technology progressed to data analysis – taking a deep dive into data and finding not only new information but new opportunities as well.

    This further developed into generative AI capable of completing creative tasks. Generative AI now produces around one billion words per day, compared to the one trillion produced by humans.

    We are now at the stage where AI can complete complex tasks involving multiple steps. In her webinar, Alliata gave the example of a team creating storyboards and user pathways for a new app they wanted to develop. Using photos and rough images, they were able to use AI to generate the code for the app, saving hundreds of hours of manpower.

    The next step in AI evolution is Artificial General Intelligence (AGI), an extremely autonomous level of AI that can replicate or in some cases exceed human intelligence. While the benefits of such technology may readily be obvious to some, the industry itself is divided as to not only whether this form of AI is close at hand or simply unachievable with current tools and technology, but also whether it should be developed at all.

    This unpredictability, according to Alliata, represents both the excitement and the concerns about AI.

    The AI Revolution and the Job Market

    According to Alliata, the job market is the next area where the AI revolution can profoundly impact our lives.

    To date, the AI revolution has not resulted in widespread layoffs as initially feared. Instead of making employees redundant, many jobs have evolved to allow them to work alongside AI. In fact, AI has also created new jobs such as AI prompt writer.

    However, the prediction is that as AI becomes more sophisticated, it will need less human support, resulting in a greater job churn. Alliata shared statistics from various studies predicting as many as 27% of all jobs being at high risk of becoming redundant from AI and 40% of working hours being impacted by language learning models (LLMs) like Chat GPT.

    Furthermore, AI may impact some roles and industries more than others. For example, one study suggests that in high-income countries, 8.5% of jobs held by women were likely to be impacted by potential automation, compared to just 3.9% of jobs held by men.

    Is AI Sustainable?

    While Alliata shared the many ways in which AI can potentially save businesses time and money, she also highlighted that it is an expensive technology in terms of sustainability.

    Conducting AI training and processing puts a heavy strain on central processing units (CPUs), requiring a great deal of energy. According to estimates, Chat GPT 3 alone uses as much electricity per day as 121 U.S. households in an entire year. Gartner predicts that by 2030, AI could consume 3.5% of the world’s electricity.

    To reduce the energy requirements, Alliata highlighted potential paths forward in terms of hardware optimization, such as more energy-efficient chips, greater use of renewable energy sources, and algorithm optimization. For example, models that can be applied to a variety of uses based on prompt engineering and parameter-efficient tuning are more energy-efficient than training models from scratch.

    Risks of Using Generative AI

    While Alliata is clearly an advocate for the benefits of AI, she also highlighted the risks associated with using generative AI, particularly LLMs.

    • Uncertainty – While we rely on AI for answers, we aren’t always sure that the answers provided are accurate.
    • Hallucinations – Technology designed to answer questions can make up facts when it does not know the answer.
    • Copyright – The training of LLMs often uses copyrighted data for training without permission from the creator.
    • Bias – Biased data often trains LLMs, and that bias becomes part of the LLM’s programming and production.
    • Vulnerability – Users can bypass the original functionality of an LLM and use it for a different purpose.
    • Ethical Risks – AI applications pose significant ethical risks, including the creation of deepfakes, the erosion of human creativity, and the aforementioned risks of unemployment.

    Mitigating these risks relies on pillars of responsibility for using AI, including value alignment of the application, accountability, transparency, and explainability.

    The last one, according to Alliata, is vital on a human level. Imagine you work for a bank using AI to assess loan applications. If a loan is denied, the explanation you give to the customer can’t simply be “Because the AI said so.” There needs to be firm and explainable data behind the reasoning.

    OPIT’s Masters in Responsible Artificial Intelligence explores the risks and responsibilities inherent in AI, as well as others.

    A Lucky Future

    Despite the potential risks, Alliata concludes that AI presents even more opportunities and solutions in the future.

    Information overload and decision fatigue are major challenges today. Imagine you want to buy a new car. You have a dozen features you desire, alongside hundreds of options, as well as thousands of websites containing the relevant information. AI can help you cut through the noise and narrow the information down to what you need based on your specific requirements.

    Alliata also shared how AI is changing healthcare, allowing patients to understand their health data, make informed choices, and find healthcare professionals who meet their needs.

    It is this functionality that can lead to the “lucky future.” Personalized guidance based on an analysis of vast amounts of data means that each person is more likely to make the right decision with the right information at the right time.

    Read the article

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