The vast majority of individuals are unfamiliar with the concept of artificial intelligence (AI). As an example, when 1,500 senior business leaders in the United States were surveyed about AI in 2017, just 17% responded positively. Numerous them were unaware of what it was or how it would influence their own businesses. They saw the enormous potential for transforming business processes. However, they were unsure of how AI could be used within their own firms.
Despite broad unfamiliarity, artificial intelligence malaysia is a technology that is revolutionising every aspect of life. It is a versatile tool that helps people to reconsider how we combine information, evaluate data, and use the ensuing insights to better decision making. Our goal with this thorough overview is to educate policymakers, opinion leaders, and interested observers about artificial intelligence. This is to highlight how it is already affecting the world and raising critical questions about society, the economy, and governance.
We examine fresh applications in finance, national security, health care, criminal justice, transportation, and smart cities. Besides, there are issues related to data access, algorithmic bias, AI ethics and transparency, and legal culpability for AI choices, in this paper. We compare the regulatory approaches of the United States and the European Union and conclude with a set of recommendations for maximising the benefits of AI while safeguarding critical human values.
To optimise the benefits of AI, we advocate the following nine steps:
- Increase researchers’ access to data without jeopardising users’ personal privacy,
- Increase federal funding for unclassified artificial intelligence research
- promote innovative methods of digital education and artificial intelligence workforce development to ensure that employees have the skills necessary to succeed in the twenty-first century economy,
- establish a federal advisory council on artificial intelligence to provide policy suggestions
- liaise with state and local officials to ensure that appropriate policies are enacted,
- govern basic ideas of artificial intelligence rather than specific algorithms,
- take bias accusations seriously to ensure that AI data and algorithms do not duplicate historical injustice, unfairness, or discrimination.
- maintain human oversight and control methods, and
- penalise and promote harmful AI activity.
ARTIFICIAL INTELLIGENCE’S QUALITIES
Although no universally accepted definition exists, AI is widely understood to refer to “machines that respond to stimulus in ways commensurate with traditional human responses, given the human ability for cognition, judgement, and intention.” According to academics Shubhendu and Vijay, these software systems “make judgments that would ordinarily need human skill” and assist individuals in anticipating or resolving problems as they arise.  As so, they act deliberately, intelligently, and adaptively.
Algorithms of artificial intelligence are meant to make decisions, frequently based on real-time input. They combine data from a range of various sources, analyse it instantaneously, and act on the insights gleaned from the data via sensors, digital data, or remote inputs. They are capable of considerable sophistication in analysis and decision-making due to massive advancements in storage systems, computing speeds, and analytic approaches.
AI is already transforming the globe and creating significant societal, economic, and governance issues.
We use artificial intelligence frequently in conjunction with machine learning and data analytics. Machine learning analyses data in order to uncover hidden patterns. If it notices something related to a real situation, software designers can use this information to examine specific problems. All that is require are sufficiently strong data sets from which algorithms may discover interesting patterns. Digital information, satellite images, visual information, text, and unstructured data are all examples of data.
Artificial intelligence systems are capable of learning and adapting as they make decisions. For example, in the transportation sector, semi-autonomous vehicles include systems that alert drivers and vehicles. This is to impend congestion, potholes, highway construction, and other potential traffic barriers. Vehicles can benefit from the experience of other vehicles on the road without requiring human intervention, and the entire corpus of their acquired “experience” is instantly and completely transferable to other similarly designed vehicles. Their complex algorithms, sensors, and cameras incorporate expertise from existing operations and utilise dashboards. Besides. there are visual displays to give information in real time to human drivers. This allows them to make sense of current traffic and vehicular situations. Furthermore, in the case of fully autonomous vehicles, advanced technologies can take complete control of the vehicle and make all navigational decisions.
APPLICATIONS IN VARIOUS INDUSTRIES
AI is not a futuristic concept; it is a reality that is being integrate and use in a variety of fields today. The included industry is finance, national security, health care, criminal justice, transportation, and smart cities. Numerous examples exist of how AI is already having a huge impact on the world and complementing human capabilities significantly.