SIT124 Exploring IT Report 2 Sample

SIT124 Exploring IT Report

Assessment Details

Introduction

In this assessment, students will research a disruptive/emerging/new technology and present a report via their WordPress website as a new page (as created in assignment 1). Students will research the historical and technical information that informed the new technology development.

Your task is to research a disruptive/emerging/new technology or technology development with the aim of informing an audience who is not familiar with the technology. Select a topic from the following:

• Artificial intelligence;

• 3D printing

• Robotic process automation;

• Cyber Security Advances;

• Edge computing;

• Virtual and augmented reality;

• Blockchain;

• Voice-Activated Searches;

• 5G and Improved Connectivity;

• Internet of Things;

• Drones;

• Human bio-hacking;

• Autonomous vehicles;

• Smart controls and appliances;

• Cryptocurrencies;

What you need to do?

Assessment 2 is split into the following two (2) steps:

1. Plan a high-level outline of your new technology report

2. Research a new technology and present report via your WordPress website

The three (2) steps of above are elaborated below:

Part 1. Plan a high-level outline of your new technology report

The first part of assessment 2 is to develop a high-level overview of your new technology report. You will be completing this task as part of class activity in Week 6. The instructions for completing the activity are given within the week 6 on Moodle.

The tasks to be completed as Part 1 of the assignment 2 are also given below:

- Answer the following questions in 150 - 200 for each question. While answering the questions, please avoid using technical jargon in this section and provide citations for your answers in the form (Author/Organization: year).

1) Introduce the topic you have chosen. Describe the purpose of the technology in your own words.

2) Explain the historical information that relates to the technology, i.e. what technology was developed that has led to this new technology?

Part 2. Research a new technology and present a report via your WordPress website –

This part of the assessment task is worth 10% of the total grade for this assessment task. The word count for this section is between 1000 – 2000 words.

Make sure that you check the reliability of your references before you use the information; generally, it is best to use information from reputable resources to complete your research. These resources can include: academic journals (which can be found in the library), textbooks, academic web sites, manufacturers web sites, etc. All sources must be acknowledged in the reference sections of your submission. Module 3 activities will help you explore how to find suitable sources of information for your assessment 2.

All references should be presented in the Harvard Style of referencing, and it is expected that your report will include a minimum of 5 references. Refer to the Harvard Referencing Guide published on the Deakin University website (link given in Week 3) for instructions on citing and referencing information and preparing bibliography.

You will be assessed on the quality of your sources and the way you cite and reference the information you gather. Do not copy and paste information and ensure what you write is in your own words. The ability to conduct and reflect research is a fundamental professional skill that will be used in this and other units and when you enter the workforce.

You should discuss your topic with your practical teacher or lecturer (discuss in the online forums or in the relevant online sessions). Wherever possible try and pick a topic that it related to your chosen degree or specialization.

The Report Structure and Presentation

As mentioned above you will be producing a report presented via your WordPress website, as a new web page added to the site. The report should contain:

Section 1 ‐ General information

Section 2 ‐ Technical information

Section 3 – Historical information

Section 4 – Impact of Technology

Section 5 ‐ Future Advancements AND/OR Future Application of the Technology

Section 6 – Reference section

Please refer to the Harvard Referencing Guide on the Deakin University website (link given on Moodle Week 3). You are required to find at least 2 references which come from research databases or Journal articles.

Solution

Part A

1. AI Technology and its Purpose

AI technology is introduced to solve real-life issues in human interaction management. AI technology usage in collecting and managing information helps improve the decision-making process. AI helps manage human-like interactions, supporting user communication management (Xu, 2019). The speed of managing data transfer assists users. AI technology-based systems also ensure automation to reduce the time of work. Workload maintenance through AI-driven operations supports effective ways to handle the organizational work process. The purpose of maintaining flexibility, speed, and accuracy in information management has promoted the use of AI in multiple fields. The use of AI technology in automated task management in healthcare, transportation, and business also increased the scope of maintaining cost-effectiveness. AI manages time in operations and ensures the availability of information 24/7, creating the scope of maintaining a high level of business operations. The informed decisions taken through AI system data also empower business growth. The digital assistance of AI systems also ensures accuracy so that proper decisions can be made based on automation (Araujo et al., 2020). However, the utility of modern life lies in user-specific demand management.

2. Historical information related to AI

Decimal logic helped use the AI algorithm to develop programmable machines to support computer systems based on the technological development needed in the Second World War. In 1956, Dartmouth College first coined the term AI. During the 1970s, microprocessors' first use helped introduce AI technology for maintaining flexibility in computer devices (COE, 2023=. The expert systems were used to support the operations based on AI. Using decimal logic for creating digital operations based on algorithms to support expert systems led to the use of modern AI in the 21st century. The accessibility, flexibility, speed, and availability of AI-based system services helped use the technology for human-like activity performance. From the first program on artificial intelligence during the 1970s to the machine learning techniques incorporated into AI systems, the growth of the technology is traced for MBA assignment expert.

References

Araujo, T., Helberger, N., Kruikemeier, S. and De Vreese, C.H., 2020. In AI we trust? Perceptions about automated decision-making by artificial intelligence. AI & society, 35, pp.611-623.

COE. 2023. History of artificial intelligence - artificial intelligence - www.coe.int. [online] Artificial Intelligence. Available at: <https://www.coe.int/en/web/artificial-intelligence/history-of-ai> [Accessed 23 Aug. 2023].

Xu, W., 2019. Toward human-centered AI: a perspective from human-computer interaction. interactions, 26(4), pp.42-46.

Part B

Introduction

The new technologies in the modern era disrupt the current digital operations (Bongomin et al., 2020). Advancements in disruptive technologies provide new dimensions to business and the living world. Modern technologies impact potentially specific communities, businesses, and a larger society. Alongside, the advancements in the future are indicated with suitable application of the disruptive technologies. Future developments based on disruptive technologies may reveal more opportunities for society and businesses. Considering the challenges of implementing new technology, conscious attempts can be made to obtain favourable outcomes from utilising disruptive technologies.

Section1: General Information

The Disruptive technology Artificial Intelligence has changed the ways of digital interactions by identifying flexible ways to use software devices to manage human-like interactions. The adjustments of inputs for gaining outputs for valuable decisions are also performed using AI technology. The purpose of using AI technology in software devices is to reduce human errors and make possible judgments and decisions. Information security risk management is another objective of using AI in businesses, digital, and social media platforms. AI technology is a digital assistant that produces unbiased results by ensuring data security (Lutz, 2019). AI is purposefully used in everyday life applications to ensure flexibility and reduce hurdles. The hassle-free experience of using AI also supports the user's decisions and saves time.

The cyber defence process is improved after using the disruptive technology of Artificial Intelligence for security purposes. AI security strengthens the extensive organisational data management processes. The large volume of information is prone to threats. AI technology algorithms analyse the volume of information and include data security protocols so that timely updates can be provided to the user in case of any unauthorised entry in the network. AI also identifies hackers and immediately informs the users to prevent hacking through cyber defence (Ghillani, 2022). Automation based on AI technology aims to ensure flexibility in work operations. Automated processes to deal with the challenges of heavy workloads are introduced based on AI technology. AI incorporation in software devices helps operate the system and automatically reduces human workload. AI can be a replacement for humans. However, the application of AI as a replacement for humans is not yet ultimately decided.

The digital assistance process based on automated operations of AI also solved healthcare issues. Healthcare operations have become flexible through AI interactions that help doctors provide hand-free prescriptions to patients from different areas (Shaheen, 2021). AI assistance also helps to save time in interactions and supports clinicians to work more effectively with the help of digital assistance. Automated processes of AI devices also keep medical records for future use. The multidisciplinary ways of using AI technology for improving digital operations also reduced the risk of repetitive work in information management, documentation, and reporting. Nonetheless, the use of AI may ensure 24/7 availability, which may help to address user demands and improve the accessibility of services.

Section 2: Technical Information

Specifications of AI-generated knowledge that human-like interactions offer decision support to humans based on input and output. The software incorporates AI technology to identify the reason for input data into the device and explain the issues based on outputs to reach conclusions. It accelerates the decision-making in different organisations and institutions. AI helps the software machines to learn from experiences to adjust the inputs and manage tasks precisely and appropriately, like humans (Topol, 2019). AI technology usage may ensure accuracy in identifying the outputs generated through data analysis.

The application of AI technology in the modern era also revealed that AI creates expert systems. Natural language processing based on AI promotes efficiency in system operations. Besides, the speech recognition process also helps the AI software to identify historical information for future usage. Automated processes also create machine vision, enabling accurate decisions for a specific problem. The solution-based approach of AI-based software also helps perform human intelligence simulations (Gil et al., 2020). It helps the machine to act like a human and provide timely solutions through automated operation.

The reactive machines of AI technology contain zero memory, which is mainly for user-specific tasks for generating the same outputs for each input. The limited memory helps to imitate human brains that work smarter based on deep learning. Human understanding based on the theory of mind supports AI to evaluate human thoughts and ideas. AI-based design systems also help to generate conscious understanding to uncover human memory, decision-making capabilities, and learning. Experience-based data evaluation helps AI software to make possible decisions as an alternative to humans. Nonetheless, using AI for technical purposes increases opportunities to make advancements in its features. The future of AI may show a positive impact on businesses and real-life operations with appropriate solution generation.

Section 3: Historical Information

Genesis of AI shows its maturation stage from 1957 to 1979. The rapid technological growth during the 1980s accelerated the adaptability of AI in computer devices for cheaper, faster, and more accessible service management. Information storage on computer devices became flexible due to the first microprocessor in the 1970s (COE, 2023). The first program on artificial intelligence was, however, created by Herbert A. Simon and Allen Newell. Dartmouth College first coined the term AI in 1956. The first microprocessor in the 1970s introduced AI in full-fledged operations for expert systems (COE, 2023).

During the wake of cybernetics, AI was first introduced, which was the time of the Second World War, when technological development was needed. The use of decimal logic in AI algorithms helped in creating a programmable machine that is based on computer intelligence. Nonetheless, the second phase of expert systems creation during the 1990s introduced AI based on human intelligence learning. A high level of expertise helped implement AI technology in the business world. However, the boom of the 21st century revealed the need for extensive data management. The new computing power based on AI helped in image classification, human interaction management, and decision-making. Machine learning techniques are deeply infused in AI-based systems in the modern era.

Section 4: Impact of Technology

The impact of AI technology improved the ways of interactions. Flexible digital interactions improved the information transfer process and speed. AI may bring a revolutionary impact on business in managing consumer media. It can identify, assess, and direct consumer demands to meet them on time. Business growth based on consumer media management may also support organisations to improve consumer relationships. Accessibility to information required for purchase will also support consumer services. AI technology may bring scope to ensure the analysis of large business data sets (Loureiro, Guerreiro, and Tussyadiah, 2021).

Apart from that, the AI technology transformation has helped improve operational efficiency. Automated repetitive tasks reduce the workload for humans. Simultaneously, the productivity of organisations with the help of data insights obtained through AI algorithms helps in proper decision-making. Valuable insights from data are gained through AI technology. The social benefit of using AI is that it increases the speed of finding information, which empowers the learning and development of ordinary people. AI-driven automation also generates opportunities to manage education services to ensure a positive use of this technology in a nation's development.

The social benefits also include access to information about healthcare from a distant place. Using AI technology in healthcare software provides efficiency to the patients and healthcare professionals to connect by accessing information. It improves the speed of healthcare service delivery (Chen and Decary, 2020). The technology improves the speed of information accessibility, increasing awareness about social issues of clean water needs in specific areas, climate change impact, and poverty issues. AI technology can increase the sense of responsibility of a country's government towards its citizens by automatically updating information about social and health issues. The avoidance of the occurrence of these issues and negative consequences has become possible by using the disruptive technology AI.

However, replacing human jobs through AI systems may increase concerns about job displacement (Schwendicke, Samek, and Krois, 2020). Disruptive technology shows both benefits and drawbacks. Ethical concerns while managing business data and consumers may develop trust issues. Besides, AI technology may also show bias in analysing information if the input is inaccurate. The risks of hacking occur on digital networks. AI can also bring challenges in maintaining creativity. Application of technology in software may show limited use, which may restrict creativity like humans. Disruptive technology can also be responsible for loss in business and data security issues. The safe use of the new technology AI is required to avoid challenges in the future.

The influence of disruptive technology among the emerging technologies in the modern era can be solid and long-lasting. AI technology may benefit larger society by ensuring timely information accessibility. The availability of services 24/7 also helps to use AI as an accurate system to deal with user demand. Interaction with users from society on AI systems also provides a positive experience of using digital technology. AI will be suitable to meet the health concerns and the business issues. Social development through education and business development through learning are advantages that AI can bring to human life.

Section 5: Future Advancements and Future Application of the Technology

AI technology's future in multidisciplinary fields has a promising impact on society. Improving healthcare facilities through AI technology may benefit both the patients and healthcare service providers. Timely communication management, hassle-free check-ups, digital prescriptions, and support of automated systems may revolutionise how healthcare services are managed. Benefits to healthcare organisations may also be provided due to AI technology applications in healthcare systems regarding patient historical information management, record keeping for addressing future health issues, and accessibility of patient information at any time. Though AI improves healthcare, the transformation in the work processes may challenge healthcare professionals. Nonetheless, future global health improvement with AI may show positive results for a larger society (Schwalbe and Wahl, 2020).

The educational process is expected to be more flexible after the application of AI technology. Based on facilities like information availability, learning resource maximisation, and accessibility of learning resources 24/7 to learners, AI technology will promote educational development. It may also increase the efficiency of learners to become digital experts. Digital skills improvement for professionalism will also be possible through AI-based learning opportunities. Social interaction on social media platforms will be quicker as AI will automate digital communication processes to ensure a hassle-free user experience in the future. The advancement of AI algorithms will not only ensure social and health benefits but also will ensure a revolutionary impact on businesses.

The transformation of AI will help automate the routine tasks of humans in the workplace, providing them with time to be creative and use their strategic thinking for business management. Professionals can make better decisions using the AI system as an alternative to humans (Enholm et al., 2022). Timely data identification and management in businesses will help to promote successful business operations. The future of AI technology shows positive outcomes in terms of human workload reduction and creativity maintenance. However, the AI-predicted growth may increase challenges in transportation and banking. Lack of human engagement increases the risks of operational failure. The AI technology may also develop difficulties in managing financial data security in banking services. Nonetheless, the predicted future advancements of AI may also bring challenges related to the usability of systems and their operations.

Conclusion

The purpose of using AI technology to improve the flexibility of operations is to help users ensure hassle-free interactions. It has also maximised the scope of maintaining high efficiency in operations. AI technology also empowered the growth of digital operations with accuracy in data management and effectiveness in the performance management of businesses. In the case of social and health development, the accessibility of information and availability of services may help to increase the scope to manage operational efficiencies. AI technology's origin for supporting computing operations and the transformation of AI technology in human interaction management provided scope to ensure high efficiency in managing business, social, and healthcare development. Nonetheless, the challenges of disruptive technology in information security management and human joblessness in the future must be considered to ensure positive results of AI technology usage.

References

Bongomin, O., Gilibrays Ocen, G., Oyondi Nganyi, E., Musinguzi, A. and Omara, T., 2020. Exponential disruptive technologies and the required skills of industry 4.0. Journal of Engineering, 2020, pp.1-17.

Chen, M. and Decary, M., 2020, January. Artificial intelligence in healthcare: An essential guide for health leaders. In Healthcare management forum (Vol. 33, No. 1, pp. 10-18). Sage CA: Los Angeles, CA: SAGE Publications.

COE. 2023. History of artificial intelligence - artificial intelligence - www.coe.int. [online] Artificial Intelligence. Available at: <https://www.coe.int/en/web/artificial-intelligence/history-of-ai> [Accessed 23 Aug. 2023].

Enholm, I.M., Papagiannidis, E., Mikalef, P. and Krogstie, J., 2022. Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), pp.1709-1734.

Ghillani, D., 2022. Deep learning and artificial intelligence framework to improve the cyber security. Authorea Preprints.

Gil, D., Hobson, S., Mojsilović, A., Puri, R. and Smith, J.R., 2020. AI for management: An overview. The future of management in an AI world: Redefining purpose and strategy in the fourth industrial revolution, pp.3-19.

Loureiro, S.M.C., Guerreiro, J. and Tussyadiah, I., 2021. Artificial intelligence in business: State of the art and future research agenda. Journal of business research, 129, pp.911-926.

Lutz, C., 2019. Digital inequalities in the age of artificial intelligence and big data. Human Behavior and Emerging Technologies, 1(2), pp.141-148.

Schwalbe, N. and Wahl, B., 2020. Artificial intelligence and the future of global health. The Lancet, 395(10236), pp.1579-1586.

Schwendicke, F.A., Samek, W. and Krois, J., 2020. Artificial intelligence in dentistry: chances and challenges. Journal of dental research, 99(7), pp.769-774.

Shaheen, M.Y., 2021. Applications of Artificial Intelligence (AI) in healthcare: A review. ScienceOpen Preprints.
Topol, E.J., 2019. High-performance medicine: the convergence of human and artificial intelligence. Nature medicine, 25(1), pp.44-56.