At the 10th IBEMS Prof. Ari Warokka, Ph.D. from Busan International College, Tongmyong University (TU), Busan, Rep. of Korea delivered a speech with topic: "Beyond Efficiency: AI-Driven Management Optimization for Shared Futures". The participants were all excited to learn new insights from Prof. Ari Warokka, Ph.D., we are welcomed to share their insight or ask question in this forum:
- Q1) Muhammad Imran : In emerging markets like Pakistan, many SMEs lack data and resources. How can AI-driven management be implemented practically without creating a bigger gap between large corporations and small businesses?
- Q2) Mohammad Khaled Hassan Rafi : Given that novel and complex problem environments require continuous experimentation, what governance frameworks or organizational routines best mitigate the risk of confirmation bias or over-reliance when human decision-makers synthesize AI-generated exploratory solutions?
- Q3) NEMSU-Judith J. Sanchez : What are the biggest challenges an organization face when integrating Ai into the existing management practices?
- Q4) DR. KEVIN Z. DACULES : what policies of the governement in optimizing AI?
- Q5) Dayrit, Ma. Chloe Gaille B. : What skills should students and future professionals develop to adapt and collaborate effectively with AI technologies?
- Q6) Yvonne Aizle Mag-usara : If AI already shapes the information, predictions, and options managers receive, how can we tell whether they are truly exercising independent judgment rather than choosing within a decision space already defined by AI?
- Q7) Daryn Banawis : As AI becomes more common in the workplace, what can students do now to make sure they can work alongside AI effectively without becoming too dependent on it?
- Q8) Alfin Siddiq : If the historical purpose of business has been profit maximization, does the concept of a shared future demand that we redefine the purpose of a corporation shifting it from a tool for capital accumulation to a vehicle for preserving human dignity?
- Q9) ERICKA MAE - PH : In the education sector, AI has the potential to improve efficiency in teaching and administration. However, how can we ensure that AI-supported decisions remain human-centered and aligned with the core values of learning, equity, and student development?
- Q10) Donald L Montenegro : How does long-term resilience influence an organization's ability to sustain shared value amid technological, economic, and environmental disruptions?
- Q11) Donald L Montenegro : Does shared-value orientation mediate the relationship between AI-enabled management and organizational sustainability/performance?
- Q12) Katerina Katsamba : But when managers repeatedly follow AI recommendations, how can we tell whether human judgment is genuinely preserved rather than reduced to rubber-stamping?
- Q13) Ruiz, Marco A. : How can managers avoid becoming too dependent on AI while still taking full advantage of its capabilities?
- Q14) Prem Basnet : when AI has to balance business efficiency with social inclusion, human well-being, and sustainability, who should define the priorities that AI optimizes for?
- Q15) Erik Ken M. Mandane, LPT : As AI becomes more involved in shaping decisions, work, and education, how can we ensure that people use AI effectively without becoming overly dependent on it, while still preserving human judgment, dignity, equity, and accountability?
- Q16) Lyzabelle Carreon : Can too much reliance on AI negatively affect an organization’s long-term resilience, even if AI improves short-term performance?
- Q17) Melisa Tantoy- Roluna : How can small businesses and organizations with limited resources start using AI in their management practices?
- Q18) Indrawati : While AI excels at data processing and routine tasks, how can leaders ensure that critical human elements such as empathy, ethics, and emotional intelligence remain at the core of management?
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