In AI We Trust
ARTIFICIAL INTELLIGENCE
?AI?in some shape or form has been a part of everyday life for years, but the amazing rise of ChatGPT and the resulting aggressive development pace of conversational and generative AI models is, for the first time ever, putting the underlying technology into the hands of the general public. Even though current large language models are primarily able to guess the best-fitting next word in a sentence based on the corpus of content they were fed, CEOs, researchers and AI experts are now urging the industry to pump the brakes on training and developing models more capable than OpenAI's GPT-4. The company's latest large language model is currently available in a limited capacity for ChatGPT Plus subscribers and will soon be integrated into Microsoft productivity and security products.
According to an?open letter signed by influential figures like Elon Musk and Stability AI CEO Emad Mostaque, "powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable." The letter was released by the Future of Life Institute, a non-governmental organization founded in 2014 by MIT professor Max Tegmark and Skype co-founder Jaan Tallinn, among others. The Musk Foundation is a primary donor to the organization.
India, China, South Africa and Brazil, are the biggest emerging markets, and are far less critical of the continued implementation of AI systems. 75% of Indians surveyed would place their trust in AI (wow), followed by 67% of Chinese and 57% of South African respondents. According to the accompanying study, respondents claimed to trust?AI used in healthcare?and security contexts the most compared to other possible use cases.
As per the Randstad Enterprise - 2024 in-demand skills dashboard, the following skills are required by the enterprises
Human skills or soft skills , play a critical role in the skilling of the AI persona. Some of the “core skills” includes – problem solving, analytical skills, creativity, collaboration, ability to manage change, ability to manage failures to name a few.
Right fitment – the first time
To be able to get the right candidate with the right core skills, enterprises are using psychometric tools like The Omnia Group, Inc. , TalentSmartEQ etc. so as to benchmark the behavioural skills in the potential candidate with what an ideal AI candidate should possess. This fitment helps in selecting the right candidates for the right profile so that the employee performance is effective and the job satisfaction stays high leading to better stability. ?
Skills & Motivations
The AI and automation field involves the creation of artificial intelligence and automation solutions, such as machine learning and robotics. Such roles include developing systems that perform tasks typically requiring human intellect and/or manual labor.
Innate core skills encompass problem solving, analytical thinking and mathematical aptitude, while important sub-skills (learned skills) include machine learning, AI frameworks and robotics. Key motivations include opportunities for technological innovation, career advancement and having an impact on society and business.
Skills Supply
What it shows
Skills supply data indicates the total number of individuals who have the skills required for AI and automation in each of the 23 markets we researched. These figures are based on a combination of verified, normalized labor market data by market and granular, skill-based data sourced from professional social media networks and job boards, and career sites.
Use the chart to understand the availability of skills (“supply map”), availability of sub-skills (“skill type”), talent with recent job search activity (“active talent”), as well as the share of talent who prefer permanent or contract work (“preferred employment type”).
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Need to know
1.??????? The U.S., India and the U.K. have the largest pools of AI and automation talent, with the U.S. comprising more than one-third of the global talent pool.
2.??????? Czechia, Hungary and Argentina show the lowest availability of AI and automation talent.
3.??????? AI infrastructure is a particularly rare skill-set, represented by fewer than 50,000 specialists worldwide. Ethics and compliance skills are also in short supply among technical specialists in AI.
Skills Demand
What it Shows
Skills demand data indicates job postings that require AI and automation skills in each of the 23 markets we researched. These figures are based on a combination of verified, normalized labour market data by market and granular, skill-based data sourced from professional social media networks and job boards, and career sites.
See demand for each skill cluster by market, explore demand for sub-skills within each cluster or view the job vacancy rate (JVR) — defined as hiring complexity — to understand market competitiveness for these skills. The higher the JVR, the more competitive it is to recruit.
Need to Know
Summary
Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. AI is here to stay and would impact all of us in some way or the other. It is up to us to decide how much that impact could be but the impact is inevitable.
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Director Sales, GTM@SmartKarrot/SmartPlaybooks | GTM Advisor for 1-10 journey
9 个月Great insights into the evolving landscape of AI! The balance between rapid innovation and cautious development is crucial, especially with the potential risks highlighted by influential figures. The emphasis on human skills in the AI workforce is particularly interesting, as it underscores the importance of creativity, problem-solving, and collaboration. It's fascinating to see how different markets perceive and trust AI differently.
Co-founder @ RoadCast | Revolutionizing the Logistics Industry with technology
9 个月Interesting to see that India is leading when it comes to Ai development and adoption. Now the question remains - will India maintain its lead, or will we observe a trend where other countries increasingly hire our talent? What measures can we implement to ensure India stays at the forefront of global AI development?
I Help Students & Professionals to Crack their Dream Jobs | ISB | NUS | SRCC | Product Leader | Visiting Faculty | Keynote Speaker (1000 Talks) | 550M Impressions | Featured: ET, 2xNew York Times Square | 104K on Twitter
9 个月You've captured the essence of AI quite well! It's true that while AI might not yet resemble the futuristic depictions seen in movies, its impact is profound and increasingly pervasive in our lives. From personal assistants on our smartphones to complex algorithms driving decision-making processes in various industries, AI is indeed here to stay and will likely continue to shape our world in significant ways. The responsibility lies with us to harness its potential for the betterment of society while also addressing potential challenges it may pose.
Interesting! This article shows why human skills?are important and relevant, especially EQ skills like resilience and relationship management. Robots still have a long way to go before replacing humans and jobs.
Board Advisor, CEO Advisor, Strategy Advisor, Technology Advisor and Driving Leadership development. Supporting Large Program Management, Resolutions and Risk Management.
9 个月There are still challenges to overcome before AI is seamlessly integrated into every facet of our society. Yet despite #AI will likely become more ubiquitous in specific industries like #healthcare, #finance,and #manufacturing where it can automate tasks and optimise. However, trust issues can be balanced by building #humanAIcollaboration, where AI assists humans with tasks while humans leverage their judgment and creativity for complex decision-making. Beyond this humans can conduct #biasaudits and #noiseaudits as different Ai services delivery different outputs based on their #runbooks and #datasets.