A hundred years ago, human beings were at the top of the food chain. Thanks to their ability to evaluate situations and create innovative solutions that their neighboring animal species were unable to do. But in recent times, it has become somewhat evident that we might not be the superior race a hundred years from now.
Our creativity, ability of decision-making, and our ethics were what separated us from the animals. But maybe what separates us and the next alpha species isn’t innovation but processing power. Read on to find out how AI may become innovative and creative in the future. And how it may affect the lives of the global population.
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Creative Artificial Intelligence (AI) is the future
In July 2021, an AI named DABUS was granted the first patent in the world for an AI-based product; a food container that utilized fractal geometry. This news was published in July 2021, Patent Journal, and was marked as one of the most significant developments in the patent industry. DABUS operates by stimulating human-like ideas and brainstorming.
Although this is a minimal development, it does mark a shift in the creative abilities of AI. Similarly, Czinger Vehicles has developed the Czinger 21C, a hybrid sports car whose chassis was developed entirely by Artificial Intelligence. The design is complicated enough that experts can easily say that no human could design something like it. Events like these make it safe to say that AI will be imperative in the future.
Diego Lo Giudice, an analyst for Forrester, claims that AI will be fueling the creative world in the future, surpassing initial expectations for AI and connecting businesses and their processes with the digital world to create products that may significantly impact customer experiences.
Thanks to the traditions of science fiction and partially due to the cautious nature of humans, many AI projects will have to be explained in great detail so that even the ordinary consumer will understand and trust businesses that claim to utilize AI in their processes.
Ethics and explainability will play a crucial role in developing AI so that business practices are focused on fairness and transparency rather than being entirely focused on competition. Experts speculate that by 2025, many companies will have to completely overhaul their design processes to include more human oversight of AI solutions and enable more explainability in AI.
Ian Ryan, the global head of the SAP Institute for Digital Government, is one of the people at the forefront of exploring AI explainability. As part of a research series of the Australian Public Sector, in which the impact of technology on society is being studied, Ryan said that AI could help offer citizens high-quality services if organizations set smart, measurable goals.
AI and its applications are limited by only three components, the model of AI, the information inputs it receives, and the people that use it. All components must be synchronized to enable society to achieve a particular goal. The AI needs to be trained constantly to support workers while keeping their data protected from intentional or unintentional bias.
Ian Ryan also stipulates that businesses and other establishments will need to involve employees and the public in developing their AI by including a high degree of explainability in even their most complex AI models, rather than leaving AI to be autonomous.
By using explainability to establish trust between a corporation and its users, AI can gain access to multiple, seemingly distant data points that would be impossible for a human brain to connect on time. On the other hand, AI can compute even the most insignificant details and provide a result in a much quicker time frame. By doing so, AI will enable employees to become more creative and more productive as AI will remove repetitive and meaningless tasks and let them focus on high-value activities.
Analysts from Gartner warn businesses that AI will require constant governance and updates to enable it to help corporations emerge stronger from the pandemic. Simply using AI wouldn’t be enough; it will need to be developed rigorously to keep up with evolving data points and business processes.
AI will be everywhere
Several analysts predict that AI will profoundly benefit the human race in making better decisions for businesses and other processes as well. By combining human knowledge with Artificial Intelligence, natural language processing, and pattern recognition, organizations will be able to take preemptive action to ensure their workers are more efficient and more effective by the year 2026.
Nearly 30% of organizations, according to the IDC, will utilize AI-driven insights on behavioral economics to direct employees’ actions. This will eventually lead to a 60% higher return in measurable outcomes by 2026.
In the short term, analysts hope that traditional brick-and-mortar businesses will learn from digital enterprises and adapt to their AI-first methods to become digitized themselves. In other words, more AI will lead to businesses removing redundancies in their work processes and lowering delays between data inputs and the decisions that can be made using them to effectively achieve desired results.
In the past, organizations quickly improved their processes by using precise methods that targeted specific segments of the production process before achieving results. However, AI brings about a need to radically reshape entire processes to better enable companies and organizations to unlock the true potential of Artificial Intelligence, which will have profound implications around the world.
AI will shape governments and public policy
Thanks to the shifting of alliances between several first-world countries and others, many governments are adopting a data-driven approach in which the efficiency of public offices is being improved to remove internal vulnerabilities. And one important aspect in public policy aided by Artificial Intelligence is the convergence of data privacy, national security, and cybersecurity. This has been reflected in the sudden rise for AI-based solutions that have impacted on a global scale.
Artificial Intelligence offers possibilities in boosting the efficiency of public policy implementation and cybersecurity and public safety on the ground level in governments. But to accomplish such a substantial task, the public sector will have to do many things.
Firstly, challenges will have to be identified on every level of hierarchy before an attempt to eradicate those challenges is made.
Once those challenges have been identified, the next recommended step would be to bring the general population into confidence by using AI explainability so that operations are aligned with the interests of all stakeholders. And in the final stage, work and other integral processes will have to be redefined so that they can be molded around the potential benefits of AI rather than vice versa.
In short, governments will need to address challenges while balancing their budgets and the expectations of their relative stakeholders carefully. One such example can be taken from Japan. This small yet capable country has taken the initiative to integrate society and businesses by using AI and other technologies to better the lives of Japan’s inhabitants. By using data collected with consent from all stakeholders, Japan implements methods to move it towards a fully connected society.
The above example is just one such instance of AI used in government and public policy-making to enable digitization. The future will undoubtedly hold many other marvels that will be revealed with time. But one thing is clear; Artificial Intelligence may just be the technology to change the world for the better.
Guest author: Zeeshan Hussain Bhatti is a blogger by passion and a Digital strategist & Tech Geek by profession, having a tech background with Professional Ghostwriting and experience in I.T development services, Zeeshan is eager towards exploring the modern-day tech landscape. With having interest in technology, Bhatti writes about leading edge technologies, Artificial Intelligence, Automotive Industry, Logo Designing and much more.