Core Insights - The article emphasizes the unique value that elderly individuals bring to the development of AI, particularly in terms of emotional knowledge and life wisdom, which AI currently lacks [1][3][10] - It advocates for viewing the elderly as active collaborators in AI development, rather than passive recipients, to enhance AI's understanding and companionship capabilities [1][3] Emotional Knowledge - Emotional knowledge is crucial for AI, encompassing the ability to recognize and respond to human emotions, which elderly individuals possess due to their extensive life experiences [3][4] - The elderly have developed a nuanced understanding of interpersonal dynamics, allowing them to interpret subtle emotional cues that AI struggles to replicate [5][6] Life Wisdom - The life experiences of the elderly represent a valuable societal asset, providing insights into social relationships and emotional intelligence that can inform AI training [6][7] - Their historical perspective allows AI to gain a deeper understanding of human behavior beyond immediate data, fostering a more sustainable judgment logic [7][8] Unique Response Styles - Elderly individuals have developed distinct communication styles characterized by indirectness and subtlety, which AI must learn to effectively engage with this demographic [9][10] - Understanding these response styles is essential for AI to resonate with elderly users, fostering familiarity and willingness to interact [9][10] Data Co-Creation - The quality of data is paramount in AI systems aimed at the elderly, with existing datasets reflecting real-life interactions and needs of this group [11][12] - The combination of responses from elderly individuals and social workers creates a rich dataset that captures the nuances of elderly communication and needs [12][14] Emotional Knowledge Extraction - Systematic methods are required to extract emotional knowledge from elderly responses, transforming their insights into structured training data for AI [15][16] - The research employs a three-tiered framework to delve into the emotional logic behind elderly responses, revealing deeper emotional needs [15][16] Co-Creation and Feedback Mechanisms - Elderly individuals should be involved in the AI training process, transitioning from mere data providers to active contributors in refining AI responses [17][18] - Engaging elderly users in testing AI responses can enhance the emotional resonance and effectiveness of AI interactions [17][18] Analysis of Elderly Queries - A systematic analysis of elderly queries reveals their unique questioning logic, emphasizing the need for AI to understand the context and emotional layers behind their inquiries [19][20] - The research identifies a dual demand in elderly questions, combining functional and emotional needs, necessitating a comprehensive approach to understanding their requirements [25][26] Response Style Preferences - Elderly individuals exhibit distinct preferences for response styles, with empathetic support being the most favored, highlighting the importance of emotional connection in communication [31][33] - The findings indicate that elderly users value responses that provide understanding, help, and emotional resonance, which should inform the design of AI communication systems [33][38] Development of Emotionally Intelligent AI - Integrating the emotional intelligence and life wisdom of the elderly into AI training is a viable strategy for enhancing AI capabilities [39][40] - This approach can facilitate a shift in AI's role from a mere tool to a partner that understands and resonates with human emotions [39][40] Redefining the Role of the Elderly - The involvement of elderly individuals in AI development repositions them from passive recipients to active contributors of knowledge and wisdom [41][42] - This shift challenges stereotypes about technology being solely for the younger generation, allowing the elderly to reclaim their social value in the digital age [41][42] Promoting Intergenerational Collaboration - The collaboration between elderly wisdom and AI technology fosters a more inclusive and human-centered approach to technological development [43][44] - This model not only bridges generational gaps but also contributes to a more compassionate and sustainable society [44][45]

Core Viewpoint - The rapid development of artificial intelligence (AI) has significantly improved industrial efficiency, but there is an urgent social issue regarding how AI can provide tangible help and empowerment to ordinary people, especially marginalized groups such as the elderly, disabled, and left-behind children [1][8]. Group 1: AI for Social Good Initiative - Tencent launched the "AI for Good Corpus" initiative in collaboration with hundreds of social organizations to create a specialized Q&A corpus aimed at vulnerable social groups [3][4]. - The initiative emphasizes the importance of high-quality training data for AI products, particularly for serving marginalized communities, which have historically been underrepresented in AI training datasets [8][19]. - The first thematic corpus focuses on elderly scenarios, containing 8,047 pairs of common questions and answers related to daily life, health, psychology, and relationships [8][19]. Group 2: Community Collaboration and Impact - The slogan "Co-create first, then share; love first, then AI" encapsulates the initiative's approach to building a public corpus through collaboration and returning to the original intent of public welfare [6][52]. - The AI for Good Corpus aims to enhance the AI capabilities of organizations serving vulnerable groups, thereby improving their ability to provide support and services [6][8]. - The initiative has received positive feedback from social workers, psychologists, and volunteers who participated in the co-creation process [4][6]. Group 3: Technological Advancements and Applications - The AI for Good Corpus has shown improvements in AI models' capabilities, particularly in emotional interaction, empathy, social adaptability, and cultural sensitivity when applied to elderly care scenarios [13][16]. - The "Elderly Wisdom Picture Book" project utilizes AI to create a warm emotional outlet for the elderly, enhancing their interaction experience and addressing feelings of loneliness [38][40]. - Research indicates that traditional methods of engaging with the elderly often overlook their true emotional needs, which the AI for Good Corpus aims to address by capturing genuine questions and concerns [44][46]. Group 4: Future Directions and Insights - The aging population in China is projected to exceed 400 million by 2035, highlighting the urgent need for innovative solutions in elderly care and the potential for AI to play a significant role in this sector [8][29]. - The initiative encourages a shift in product design from functionality-driven to dignity-experienced, addressing the complex needs of the elderly [50][52]. - The AI for Good Corpus serves as a bridge connecting technology with humanistic values, aiming to create an inclusive society for the aging population [52][59].