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The AI industry has shattered the long-held belief that significant change can only occur gradually and in phases. Six months since the launch of ChatGPT 3, hundreds of AI tools have flooded the market at an astonishing pace. It seems developers have been eagerly waiting for an AI tool to test the waters first. If you are a student who has been curiously watching the AI space and considering a career in AI, you are about to enter one of the top industries in terms of job creation. According to the World Economic Forum, in its latest Global Risks Report 2023, it is estimated that around 85 million jobs may be displaced by 2025 due to the emergence of Artificial Intelligence (AI) and related technologies. However, the report also suggests that the growth of AI and tech is expected to create 97 million new jobs. Despite the displacement of some jobs, the overall impact of AI on the job market is expected to be positive, creating ample opportunities for skilled people.
Before discussing future careers in AI, however, it is crucial to understand the current AI education landscape. Because, unlike traditional courses, AI is relatively new, and the avenues of learning from skilled teachers and professionals are extremely limited at this point in time. Since it might take a few years for AI to become a mainstream subject in institutions across the world, the students of today, who are passionate about AI, need to be extremely agile and smart in the way think about and approach AI education. Similarly, educators and educational institutions are now in the position to rethink and innovate teaching methods to suit the needs of the students of the AI world.
AI as an industry has already started to boom, and in the near future, we will witness its direct impact on all aspects of our lives. However, since AI education is at a nascent stage, the number of qualified teachers and educational institutions that can teach AI is disproportionately low compared to the exploding demand for AI education. Additionally, more standardised curricula and assessments for AI education are required for educators to impart their students with the necessary skills and knowledge to be employable. Therefore, educational institutions and industry experts should collaborate and co-create curricula for AI education. This collaboration will prove to be a win-win for the industry and the AI education sector since it will lead to more high-quality students taking up top jobs in the industry, which can, in turn, evoke interest in more students to pursue AI education. In this direction, some organisations have started developing standardised curricula and assessments, while others are providing resources and training for teachers who want to learn more about AI. So, the right efforts are underway and soon, AI courses will be widely accessible across most parts of the world.
Like any other industry, the AI industry also demands a combination of technical and soft skills. Since AI holds tremendous potential that needs to be utilised responsibly, it is imperative that students possess high levels of ethics and awareness to function in the AI space. They should also be able to look beyond immediate applications and make decisions considering the long-term implications. With that said, here are the 5 essential skills students will need to become professionals in the AI industry.
Teaching AI in Schools
Incorporating AI education into the curriculum can be challenging for schools today, but making the right efforts in their capacity to prepare students for AI-related jobs will help the school stay ahead of the curve. Adopting AI education at this early stage can be mutually beneficial for both schools and students in the long term. So, here are some strategies for schools to teach AI today.
As mentioned earlier, if you are a student, it is important to make use of learning opportunities outside of school. Here are some options for you to learn AI outside of school:
By taking advantage of these opportunities for AI education outside of schools, students can gain valuable experience and knowledge in AI-related fields. These experiences can help you prepare for careers in AI and make you more competitive in the job market.
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For several reasons, diversity in AI education is highly crucial. By its very nature, the technology requires a diverse pool of people to build and train it. Here is a simple breakdown of why promoting diversity in AI education is essential:
The onus of ensuring diversity is on all the major stakeholders of the industry. We need to identify ways to include underrepresented groups in AI education and training. This can be achieved by providing scholarships and other financial assistance and developing outreach programs encouraging them to pursue AI-related careers. By prioritising diversity in AI education, we can build a future that is inclusive and equitable.
The conventional methods of teaching and learning are about to undergo a massive change with the advent of AI technology and tools. The scale of change in the education industry that AI will cause is tough to imagine today. But, here are the imminent changes already underway and soon to pick up the pace and become the new normal.
As a student passionate about pursuing Artificial Intelligence as your career, you are after the power to make a positive impact on the world. With AI, you can solve complex problems, automate processes, and even create groundbreaking innovations that transform entire industries.
With the power of AI in your hands, effectively addressing global challenges, such as climate change or healthcare access, is a real possibility. Also, you will take an active part in developing AI systems that are unbiased and ethical, ensuring that it is used responsibly and for the benefit of all. These are just some of the possibilities that await you in the field of AI.
Therefore, as a student, if you have the curiosity and attitude to acquire the necessary skills despite the challenges, you can position yourself to succeed. In this exciting field, you can contribute to a brighter and more equitable future. So, start exploring the world of AI and make a real difference!
A wide range of job opportunities are available for students with AI skills. Some examples include machine learning engineers, data scientists, AI software developers, AI project managers, and AI researchers. AI skills can be applied in various fields, including healthcare, finance, transportation, and more.
There are several strategies that schools can use to incorporate AI education into their curriculum. Integrating AI into math, science, and computer science courses is one option. Another option is to offer dedicated AI courses. Schools can also provide resources and tools for teachers to teach AI and foster hands-on learning experiences, such as projects and competitions. Schools can also partner with industry to provide students with real-world experience in AI-related fields.
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