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Harnessing the power and potential of Artificial Intelligence (AI) continues a centuries-old trajectory of the application of science and knowledge for the benefit of humanity. Such an endeavor has great promise, but also the possibility of creating conflict and disorder. This chapter draws upon the strengths of the previous chapters to provide readers with a purposeful assessment of the current AI security landscape, concluding with four key considerations for a globally secure future.

Introduction: Numerous decision-making situations are faced in education where Artificial Intelligence may be prevalent as a decision-making support tool to capture streams of learners’ behaviours.

Purpose: The purpose of the present study is to understand the role of AI in student performance assessment and explore the future role of AI in educational performance assessment.

Scope: The study tries to understand the adaptability of AI in the education sector for supporting the educator in automating assessment. It supports the educator to concentrate on core teaching-learning activities.

Objectives: To understand the AI adaption for educational assessment, the positives and negatives of confidential data collections, and challenges for implementation from the view of various stakeholders.

Methodology: The study is conceptual, and information has been collected from sources comprised of expert interactions, research publications, survey and Industry reports.

Findings: The use of AI in student performance assessment has helped in early predictions for the activities to be adopted by educators. Results of AI evaluations give the data that may be combined and understood to create visuals.

Research Implications: AI-based analytics helps in fast decision-making and adapting the teaching curriculum’s fast-changing industry needs. Students’ abilities, such as participation and resilience, and qualities, such as confidence and drive, may be appraised using AI assessment systems.

Theoretical Implication: Artificial intelligence-based evaluation gives instructors, students, and parents a continuous opinion on how students learn, the help they require, and their progress towards their learning objectives.

Introduction: The Covid-19 pandemic wreaked havoc on the organisations in the form of increased job demands which manifested through increased workload, time pressure, etc. Similarly, stress and burnout engulfed the employees. Remote work became the new normal post-pandemic. Remote workers require more engagement. This has brought Artificial Intelligence (AI) to the forefront for engaging employees in the new normal.

Purpose: With limited studies on AI-enabled employee engagement in the new normal, this study investigates and proposes a conceptual framework of employee engagement in the context of AI and its impact on organisations.

Methodology: A systematic review and meta-synthesis method is undertaken. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes.

Findings: Since many organisations are turning to remote work post-pandemic and remote work requires more engagement, organisations are investing in AI to boost employee engagement in the new normal. Several antecedents of employee engagement such as quality of work life, diversity and inclusion, and communication are facilitated by AI. AI helps enhance the quality of work life by playing a major role in providing fair compensation, safe and healthy working conditions, immediate opportunity to use and develop human capacities, continued growth and security, work and total life space, and social relevance of work life. This has led to positive organisational outcomes like increased productivity, employee well-being, and decreased attrition rate. Furthermore, AI helps in measuring employee engagement. The various tools of AI, such as wearable technology, digital biomarker, neural network, data mining, data analytics, machine learning (ML), natural language processing (NLP), etc., have gone a long way in engaging employees in the new normal.

Weapons systems and platforms guided by Artificial Intelligence can be designed for greater autonomous decision-making with less real-time human control. Their performance will depend upon independent assessments about the relative benefits, burdens, threats, and risks involved with possible action or inaction. An ethical dimension to autonomous Artificial Intelligence (aAI) is therefore inescapable. The actual performance of aAI can be morally evaluated, and the guiding heuristics to aAI decision-making could incorporate adherence to ethical norms. Who shall be rightly held responsible for what happens if and when aAI commits immoral or illegal actions? Faulting aAI after misdeeds occur is not the same as holding it morally responsible, but that does not mean that a measure of moral responsibility cannot be programmed. We propose that aAI include a “Cooperating System” for participating in the communal ethos within NSID/military organizations.

The contemporary business environment has been revolutionized by artificial intelligence (AI), which has undoubtedly impacted the operational and competitive strategies of small and medium-sized enterprises (SMEs). In this write-up, we delve into AI’s influence on SMEs by delving into the advantages, obstacles, and prospects associated with adopting AI technology. Based on an exhaustive analysis of current literature, this essay contends that SMEs can optimize their functions, enhance decision-making processes, and deliver superior customer experiences with the adoption of AI. However, SMEs face several challenges in embracing AI technology, including the high cost of implementation, lack of technical expertise, and concerns about data confidentiality and security. This chapter also illuminates prospective opportunities that SMEs can leverage through AI, such as establishing a foothold in new markets and competing effectively with larger enterprises. Overall, this chapter concludes that SMEs must carefully evaluate the costs and benefits of adopting AI, and develop a strategic plan for implementation that aligns with their business goals and resources.