Contemporary issues in applying AI applications: challenges and opportunities

The broad acceptance and incorporation of artificial intelligence (AI) have significantly influenced a country's economy and human life. AI is used in industries, government, and even academic institutions to make decisions that have a direct and potential impact on lives. The integration of AI technology is a necessary step in developing intelligent manufacturing and the future smart factory. Improve diagnostic accuracy and screening time savings on business challenges are possible with artificial intelligence. This research helps to identify the superior AI technologies used in various areas, comprehend AI technologies and how they are applied, and determine AI opportunities and challenges. The deployment of AI in different sectors affects both producers and consumers. To reduce resistance of employees due to fear of technology, employers must make them aware of the usage of AI applications. One of the data challenges is a lack of quality of input data. The sharing of data and lack of trust are ethical challenges. There are challenges to the adoption of artificial intelligence all over the globe. Artificial intelligence-based start-ups face challenges due to the need for more suitable infrastructure. The increasing use of artificial intelligence can potentially change many aspects of human existence.

[1]  Wein K. Solos,et al.  On the Impact of Artificial Intelligence on Economy , 2022, Science Insights.

[2]  Selin Akgun,et al.  Artificial intelligence in education: Addressing ethical challenges in K-12 settings , 2021, AI and Ethics.

[3]  Stefan Smolnik,et al.  AI invading the workplace: negative emotions towards the organizational use of personal virtual assistants , 2021, Electronic Markets.

[4]  W. J. V. Eschenbach,et al.  Transparency and the Black Box Problem: Why We Do Not Trust AI , 2021, Philosophy & Technology.

[5]  Warren J. von Eschenbach Transparency and the Black Box Problem: Why We Do Not Trust AI , 2021, Philosophy & Technology.

[6]  Nripendra P. Rana,et al.  Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm’s operational inefficiency and competitiveness , 2021, Eur. J. Inf. Syst..

[7]  Ravi Manne,et al.  Application of Artificial Intelligence in Healthcare: Chances and Challenges , 2021 .

[8]  Virginia Dignum,et al.  The role and challenges of education for responsible AI , 2021, London Review of Education.

[9]  Esko Penttinen,et al.  Challenges of Explaining the Behavior of Black-Box AI Systems , 2020, MIS Q. Executive.

[10]  A. Howard,et al.  Emerging challenges in AI and the need for AI ethics education , 2020, AI and Ethics.

[11]  Rajasshrie Pillai,et al.  Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations , 2020 .

[12]  N. Selwyn Re-imagining 'Learning Analytics' ... a case for starting again? , 2020, Internet High. Educ..

[13]  Sheshadri Chatterjee AI strategy of India: policy framework, adoption challenges and actions for government , 2020 .

[14]  Stéphan Vincent-Lancrin,et al.  Trustworthy artificial intelligence (AI) in education , 2020 .

[15]  Stephen D. Edwards,et al.  The HeartMath coherence model: implications and challenges for artificial intelligence and robotics , 2019, AI & SOCIETY.

[16]  Anna Jobin,et al.  The global landscape of AI ethics guidelines , 2019, Nature Machine Intelligence.

[17]  Deborah Richards,et al.  Supporting and challenging learners through pedagogical agents: Addressing ethical issues through designing for values , 2019, Br. J. Educ. Technol..

[18]  Davide Calvaresi,et al.  Explainable Agents and Robots: Results from a Systematic Literature Review , 2019, AAMAS.

[19]  Scott Robbins,et al.  AI and the path to envelopment: knowledge as a first step towards the responsible regulation and use of AI-powered machines , 2019, AI & SOCIETY.

[20]  Razvan Veliche,et al.  Combining the Power of Artificial Intelligence with the Richness of Healthcare Claims Data: Opportunities and Challenges , 2019, PharmacoEconomics.

[21]  Ajith Abraham,et al.  Industry 4.0: A bibliometric analysis and detailed overview , 2019, Eng. Appl. Artif. Intell..

[22]  Effy Vayena,et al.  New ethical challenges of digital technologies, machine learning and artificial intelligence in public health: a call for papers , 2019, Bulletin of the World Health Organization.

[23]  J-P Beregi,et al.  Radiology and artificial intelligence: An opportunity for our specialty. , 2018, Diagnostic and interventional imaging.

[24]  Francisco Javier Abarca-Álvarez,et al.  Demographic and dwelling models by artificial intelligence: urban renewal opportunities in Spanish coast , 2018, International Journal of Sustainable Development and Planning.

[25]  Marc Esteve,et al.  Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration , 2018, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[26]  R. Adams,et al.  Data supply chain (DSC): research synthesis and future directions , 2018, Int. J. Prod. Res..

[27]  Keith Dreyer,et al.  Artificial Intelligence in Health Care: Brave New World or Golden Opportunity? , 2018, Journal of the American College of Radiology : JACR.

[28]  Nehmat Houssami,et al.  Artificial intelligence for breast cancer screening: Opportunity or hype? , 2017, Breast.

[29]  C. E. Kahn From Images to Actions: Opportunities for Artificial Intelligence in Radiology. , 2017, Radiology.

[30]  Ray Y. Zhong,et al.  Intelligent Manufacturing in the Context of Industry 4.0: A Review , 2017 .

[31]  Kevin Smith,et al.  Digital image analysis in breast pathology-from image processing techniques to artificial intelligence. , 2017, Translational research : the journal of laboratory and clinical medicine.

[32]  Rollin McCraty,et al.  New Frontiers in Heart Rate Variability and Social Coherence Research: Techniques, Technologies, and Implications for Improving Group Dynamics and Outcomes , 2017, Front. Public Health.

[33]  Kenning Arlitsch,et al.  Thriving in the Age of Accelerations: A Brief Look at the Societal Effects of Artificial Intelligence and the Opportunities for Libraries , 2017 .

[34]  Babak Nadjar Araabi,et al.  Integrating artificial neural network and imperialist competitive algorithm (ICA), to predict the energy consumption for land leveling , 2017 .

[35]  Wentao Yu,et al.  Applications of artificial intelligence in intelligent manufacturing: a review , 2017, Frontiers of Information Technology & Electronic Engineering.

[36]  Lionel M. Ni,et al.  Visual Analytics in Urban Computing: An Overview , 2016, IEEE Transactions on Big Data.

[37]  Ana Paiva,et al.  The case of classroom robots: teachers’ deliberations on the ethical tensions , 2016, AI & SOCIETY.

[38]  R. Carleton,et al.  Into the unknown: A review and synthesis of contemporary models involving uncertainty. , 2016, Journal of anxiety disorders.

[39]  J. Burrell How the machine ‘thinks’: Understanding opacity in machine learning algorithms , 2016, Big Data Soc..

[40]  Aleksandr Ometov,et al.  Visualizing Big Data with augmented and virtual reality: challenges and research agenda , 2015, Journal of Big Data.

[41]  H. Chad Lane,et al.  Intelligent Learning Technologies Part 2: Applications of Artificial Intelligence to Contemporary and Emerging Educational Challenges , 2013, AI Mag..

[42]  Sankalp Khanna,et al.  Artificial intelligence in health - the three big challenges. , 2013, The Australasian medical journal.

[43]  Kinshuk Jerath,et al.  The Impact of "One-Stop Shopping" on Competitive Store Brand Strategy , 2009 .

[44]  G. Schwartz,et al.  Dynamical energy systems and modern physics: fostering the science and spirit of complementary and alternative medicine. , 1997, Alternative therapies in health and medicine.

[45]  Charles T. Mosier,et al.  Artificial intelligence in flexible manufacturing systems , 1992 .

[46]  Suprateek Sarker,et al.  Artificial intelligence and robots in individuals' lives: how to align technological possibilities and ethical issues , 2021, Internet Res..

[47]  J. Ross,et al.  Using AI to Enhance Business Operations , 2020, How AI Is Transforming the Organization.

[48]  Jin Xing The Application of Artificial Intelligence in Computer Network Technology in Big Data Era , 2019 .

[49]  Harry Jabs,et al.  ARTIFICIAL INTELLIGENCE AND THE HUMAN BIOFIELD : NEW OPPORTUNITIES AND CHALLENGES , 2018 .

[50]  L. Isenman The Brain and Perception , 2018 .

[51]  Nikola Suzic,et al.  Predictive manufacturing systems in Industry 4.0: Trends, benefits and challenges , 2017 .

[52]  Bart Verheij,et al.  Artificial Intelligence , 2017, Communications in Computer and Information Science.

[53]  Andrew D. Selbst,et al.  Big Data's Disparate Impact , 2016 .

[54]  S. Morris ACHIEVIng CoLLECTIVE CoHEREnCE : gRoUp EffECTS on HEART RATE VARIABILITy CoHEREnCE AnD HEART RHyTHM SynCHRonIzATIon , 2010 .

[55]  P. Patel,et al.  Innovation for Women's Empowerment and Gender Equality , 2009 .

[56]  E. Leskowitz THE INFLUENCE OF GROUP HEART RHYTHM ON TARGET SUBJECT PHYSIOLOGY: Case report ofa laboratory demonstration, and suggestions for further research , 2007 .

[57]  Andrew Kusiak,et al.  Artificial Intelligence And Operations Research In Flexible Manufacturing Systems , 1987 .

[58]  MD James H. Thrall,et al.  Arti fi cial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success , 2022 .