Why does Artificial Intelligence (AI) need humans as much as We need AI?
In simple language, Artificial Intelligence (popular as AI) is all about computer science applications managing robust datasets, helping us to facilitate problem-solving in our day-to-day life, business, and industry. AI is also closely associated with deep learning and machine learning, which you often hear in conjunction with AI.
Although at it is core, AI tries to educate and execute the computer to mimic and act on the pattern of human behaviour, and to a great extent, they may replicate it but fall short when asked to think and act smartly like a human. To carry out tasks, human intervention is required at different stages of AI application in any given context.
The twenty-first century is the age of technology, and there is a place for technology in our daily lives, making it more efficient and performance-driven. Thus, you must embrace the change, get a helping hand, and adopt AI to your advantage.
This blog post tries to understand how AI has been beneficial by looking at a couple of business and industry verticals before concluding why humans(we) must embrace AI, be more productive, and stay ahead in business. Just give up the speculation of fear that AI might replace you from your job or profession.
Remember the giant-size desktop computer introduced (almost) three decades ago in India? A few political parties even argued that people might be losing their jobs. But have you lost your job if you are from the 1990s executive generation unless you called it a day and ventured for better prospects? No One lost their jobs because of computerisation? Nothing of that sort happened; instead, the success story of India began from then only, and it has led our nation to become the fifth largest global economy today.
Let us now look at the following few industries where AI has been introduced and do a quick study of how these sectors have been performing well (of course, with human intervention) and the limitation parameters.
For now, we will limit our discussion in this post to space science, Automotive Manufacturing, Smartphone technology, and Marketing industries and dive into the details in each sector.
AI in the Space Science and Technology sector
India’s latest Lunar Mission, Chandrayaan- 3, is a brilliant success story of AI in space science and exploration that already made media headlines worldwide. On 23rd September 2023 at 6.O3 p.m. India time, when our Vikram lander from Chandrayaan -3touched down the lunar surface with picture perfection, stands as a testament to ISRO’s (Indian Space Research Organization) resilience of innovation where humans and technology intertwine.
ISRO’s Chandrayaan-3 team has worked hard and developed a new set of algorithms that automates the safe landing process with the help of real-time images of the Lunar surface before landing. It equipped the spacecraft with the required intelligent technology, command, and control system that managed real-time pictures of the lunar surface (the precise landing zone), ensuring the safety of landing.
From a technology point of view, it was the case of super-intelligent data analytics techniques and the A.I.-powered descent module of Vikram lander that helped Chandrayaan 3 to accomplish the mission, a rare fete, making India light up the dark side of the moon.
The success of Chandrayan 3 has made AI an essential element in space technology. Leading space organisations like NASA, Space X, ISRO, and ESA have started utilising AI mastery to attain future goals in space science, technology and future missions.
Google has done eight projects with NASA, trying to leverage its expertise in artificial intelligence. Henceforth, AI will be a game changer in space research and exploration. But at every stage, human intervention and judgment will help the AI grow perfect and more robust in meeting the defined mission.
AI in Automotive Manufacturing Business
Artificial intelligence (AI) is revolutionising the global automotive industry by improving safety, efficiency, and the overall driving experience when driving on the road. Using artificial intelligence (AI) in cars, you can enjoy a much safer and more efficient driving experience as the advanced driver assistance features come with lane keeping/ changing prompts, adaptive vehicle control, and obstacle avoidance; AI also can use data gathered from sensors to monitor and refine the performance of the vehicle over time.
However, there are some limitations to relying entirely on AI in automotive technology. Artificial intelligence requires extensive training data, which may be problematic or costly. The autonomous systems must be regularly checked, updated, and tested to ensure reliability, requiring significant additional cost and skilled human resource support.
Most training data also must be labelled by human interventions closely and regularly, allowing the AI models to learn and become proficient. Otherwise, biases may be creeping into training data. Thus, extensive training is essential, making AI applications adept at recognising, understanding, and classifying objects or situations like humans. Besides, there exist substantial cybersecurity threats in AI-powered vehicles from unwanted elements.
All said and done, AI is still evolving in the automotive application. “‘AI is doing a lot of things in the automotive domain. Be it for safety systems like ADAS or in design. Engineering and design can help make things faster. For instance, our designers are using AI to help in idea creation. Ultimately, AI is no different than the designer who gets his influence from the inputs. In all spheres, AI is a big conversation topic, and despite the benefits it can bring, you still have to shepherd (guide) it. We are experimenting with it; it’s the beginning of a journey. The designer is AI, and AI has to be curated. You need to know what to put in to get the output, and that’s the job of the person using it.”, says Mr Martin Uhlarik, Head of Global Design at Tata Motors
AI in Smartphone Business
With 7.33 billion Smartphone units sold worldwide (more than 90% plus populations) today, it has become an integral part of our lives. Most people look at their Smartphones hundreds of times daily for business or personal use. Our smartphones contain a wealth of data and information (relating to our profession and private utilities) and provide access to critical services through various applications like email, banking, travel, grocery bookings, food pickup, and whatnot. You name it, and you will find a suitable application in the Google Play Store. Leading tech companies are investing heavily in improving user experiences through AI (Artificial intelligence) usage in Smartphones.
AI’s most significant contribution to Smartphone technology is making cell phones more intuitive, responsive, and “human-like.” virtual assistants, adaptive displays, personalised recommendations, IOTs, and other AI-powered features streamline and add convenience to our lives by adding umpteen lifestyle values. While AI features provide apparent benefits, they could come at a subtle but severe cost to our privacy, autonomy, and well-being. Thus, human intervention is also required in the smartphone business domain for several reasons despite our heavy reliance on AI-driven Smartphone features.
Creativity and innovative features have become the essence of modern Smartphone technology. Although AI can generate no new ideas and insights, the Smartphone technologist will take the final call on the feasibility and implementation of the new features, user interfaces, and applications. The same goes for quality control. The quality engineers behind the scenes must ensure the safety standards and the critical issues about human welfare that AI programs might miss or ignore owing to their limitations.
As an end user, I find the application of chatbots highly irritating at times, and most of the time, they come with tailored robotic communication, which is miles away from my requirements. I am comfortable talking to a human agent/customer service operator in person, as they can provide empathy, understanding, and nuanced solutions to customer problems.
AI can give recommendations based on the pre-fed data. Regarding ethical and moral decisions about human welfare and ever-changing governmental regulation, AI will remain a flop here for times to come. Human agents will continue to play the role on various subjects, including privacy, data security, and responsible AI use.
Lastly, a positive user-oriented experience calls for human-centred design principles in the forever-evolving Smartphone sector. User research can be conducted through automated research technologies. Still, the interpretation of research data by design engineers holds the final key for human-centred design principles and practical design solutions.
Although AI plays a significant role in the modern smartphone business, humans can never be replaced. Human engineers will continue to play an essential role in the industry for creativity, quality control, customer support, ethical decision-making, governmental compliance, user-centred design, and handling unpredictable situations.
AI in Marketing
Artificial Intelligence (AI) is fast-changing the landscapes in modern business and industry across the board, and marketing is no exception. It is a time for twenty-first-century marketers to understand the potential of AI in transforming marketing, brands, and business. Once you grasp the power of AI technology, you can connect better with your customers, grow your business faster through efficient data analytics, and enhance brand engagement by offering a tailor-made personalised experience.
In our real-time life, we are observing umpteen examples like you keep asking your phone any question, and based on search history and saved data, you get an instant answer. More than 1.4 billion chat GPT users get their business mail or online business articles published within a few minutes. More advanced forms of AI are increasingly used by businesses to help them make smarter marketing decisions, especially in online marketing.
However, there are challenges to using AI tools correctly and in a relevant context. Otherwise, it may backfire. AI is the latest innovative field combining computer science, machine learning, deep learning, and a vast database that has become a significant tool in online marketing to improve customer expectation, service, and business bottom line. It will make you a more performance-driven marketing professional and will only take your job if you refuse to take advantage of the call of the times, AI.
AI in the Digital Marketing Landscape
PPC Campaigns
Online marketers and agencies have already adopted the changes in a few areas of digital marketing. AI-based tools are extensively used in PPC, bringing efficiency in keyword research, bid management, customer targeting, sentiment analysis, analytics, and reporting. AI algorithms analyse large volumes of data and provide insights quickly, improving the efficiency of PPC campaigns.
Content Creations
A fundamental value proposition AI offers to present-generation marketers is the reduction of the substantial workload involved in performing routine tasks. It also helps generate creative content, especially in digital news platforms, social media, and email marketing campaigns.
The Associated Press and The Washington Post already use AI-based solutions to submit live news stories automatically. Businesses are now using AI-powered bots like chat GPT to produce marketing content faster for email campaigns, social media campaigns, digital newsletters, etc.
Although AI has reduced the regular cognitive workload in routine tasks for content marketers and writers while generating unique content, a writer must do a bit of tightrope walking while using AI-powered writing tools.
Although GPT or other AI writing tools can help you have catchy headlines and advise you well on the content structure and elements in a few seconds, it eliminates writer’s block by giving ideas based on specific prompts. As a writer, I think AI’s scope is still limited.
On the flip side, if you rely on AI tools for authentic content and research inputs, you might be disappointed as the data may need to be updated. Robotic content is mechanical and often reads/sounds duplicate as the thousands of GPT users are churning out similar content from defined keywords and topics. Moreover, content generated by AI tools is often plagiarised to some extent, which is against the Google rule book for SEO purposes.
Whether a bot can write content on its own, even with the best of the prompts, and make an impact among the readers is a subject of debate. Because business storytelling is about impacting the readers, it calls on human emotion to engage with the online audience you are writing for.
Google keeps acting against websites that use AI content that does not meet Google’s defined standards E-A-T-E (Expertise, Authoritativeness, Trustworthiness, and Experience). Thus, If you are a content creator, SEO head, editor, brand custodian, online publisher, or agency owner, inform your writers to read about Google’s anti-spam policy, understand it, and write to Google’s team for more clarification instead of publishing GPT content as it is. The price will be too high later, and the very objective of your online presence will be defeated due to shortcuts and spam content. In the words of Mr Neil Patel, one of the top 10 influencers on the web, “AI needs human input, and the best form is human written content. Hence, algorithms will focus on human-written content. And even if you use AI to start the writing process, you can still have a human modify it. “
SEO Content Creation
AI content may not fit SEO, and ChatGPT should not be used to generate SEO articles or blogs. GPT content lacks human emotions, thoughts, and the writer’s personal experience. The content generated will fail Google’s EAT standards and is unlikely to rank well in Google Search Results for SEO.
While on the face of it, bots may offer great solutions for content creation, but the story does not end here. Every content that goes to the web for publishing must abide by the rules of search engine rules (Google, Bing, etc.) because the ranking of the page matters. Thus, human intervention is necessary while making the content intended for publishing on the web. AI tools can only assist the content creator /writer, supporting them with better efficiency and nothing more than that. AI support will make a competent writer with good storytelling skills more productive.
AI in B-to-B Marketing
B2B (popular as business-to-business) marketing differs slightly from online marketing. Here, the human-to-human connections or relationships matter the most. Artificial intelligence or AI tools might help you to scan and filter the prospect’s data, identify the valid email address, or even draft a sales-driven crisp e-mailer and send mails well in time or do better real-time bidding for media buying in PPC campaigns and generate few leads. But it’s your communication; conducting personalised offers and negotiations will only help to close the sale or a business deal. The emotional connection and unique chemistry you make through your one-to-one meeting remain critical in the B-to-B business.
The bottom line remains that as a professional marketer, you must work with, not solely rely on, AI technology to get you the results. Remember that successful marketing needs human intervention and a personal touch. Today, business is all about marketing.
Conclusions
AI and humans are not in competition with each other but instead evolving as interdependent partners. AI relies entirely on human intelligence for data, guidance, ethics, contextual understanding, and oversight. In contrast, humans can benefit greatly from AI tools efficiency, automation, analytical power, and time efficiency for our informed decision-making support. The relationship between us remains a symbiotic one, where each will complement and raise the capabilities of the other, ultimately working together to achieve more efficient and performance-driven productivity and outcomes.
AI tools and technology will assist us in decision-making, but the ultimate responsibility lies with us. AI will provide a few recommendations based on faster data analysis, but we ( Humans) will assume the final decisions and accountability.
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About the Author
Utpal is a seasoned marketing writer, blogger, and solopreneur specializing in copy and content writing. With over five years of experience, I have successfully operated as a freelancer catering to diverse clients and agencies. I write on multiple domains in most digital content formats (long and short). I also do off-page writing like press releases, news articles, etc.
My LinkedIn profile is https://www.linkedin.com/in/utpal-ghosh/
You can connect with me on my e-mail id theprimeavenue @gmail.com
Very informative blog.
Thanks Vibhu.
Regards
Utpal