The New York Academy of Sciences’ Post

🔗 Exciting news! Check out our latest blog post on the impact of generative artificial intelligence on socioeconomic inequalities and policy making. This interdisciplinary overview delves into the potential effects of AI on work, education, health, and information, offering insights into existing research and identifying critical gaps. Learn more at https://bit.ly/47DdIyt 🤖 #AI #policy #inequality

Artificial Intelligence technology harnesses a potent capacity to mitigate the global epidemic of loneliness. Far-fetched? Not at all! Neuroscience experts suggest that AI companionship can provide unique social interactions and valuable practice for our social skills. Furthermore, this high-tech approach can disrupt the devastating cycle of loneliness. Yet, there's no denying the need for a measure of precaution. An over-reliance on AI companionship poses serious risks, posing the question - could regulatory measures curb such excessive dependence? What are your thoughts on harnessing AI technology for companionship? Can we strike the balance between leveraging artificial companionship and nurturing human social interaction? #ArtificialIntelligence #MentalHealth https://lnkd.in/e3gQNUak

Great lecture today at Vanderbilt University Medical Center by Adrienne Boissy for the Patricia Townsend Meador Lecture. The topic was the Neuroscience of Trust and Implications for AI. My takeaway is trust is earned and we each have our unique but similar filters for how we trust something. Many many factors innate to each individual influence trust and Adrienne shared all those factors and more. Technology/AI will certainly aid in building trust and make us more efficient, but can it ever replicate or replace the need and power of human connection and provide a sense of belonging? #humanexperience #ai

🎧 Yseop's latest episode of AI Uncovered looks at how digital transformation and AI has impacted life sciences. Tim Martin sits down with Rohit Sood, a seasoned executive with over 25 years of experience in commercialization and technology use in life sciences. Listen now: bit.ly/4cpByku #AI #Lifesciences #GenerativeAI #GenAI #DigitalTransformation

A new case study on synthetic data from Ipsos reveals some fascinating insights. This study shows AI's potential to mirror human responses and offer a basic sketch of consumer preferences. However, it lacks the depth . AI’s real strength lies in ideation, where it can generate diverse and well-considered ideas. However, it falls short in embodying the full spectrum of human emotion and experience, particularly in emotionally charged fields like women’s health. The future of market research likely lies in a synergy between AI’s efficiency and human empathy. What do YOU think the future holds for AI in market research? Share your thoughts in the comments! Thanks for sharing that paper Bhavna Sawnani #AI #marketresearch #consumerinsights #Ipsos #womenshealth #futureofwork

While #AI is the hottest new development, with the life sciences market expected to reach $7.09 billion by 2028, this has not yet resulted in widespread deployment in the #healthcare and #lifesciences field. Our latest DIA Global Forum article examines the three critical characteristics that define AI's potentially impactful role in this field: the establishment of comparative baselines, the attribution of tangible value, and the crucial need for data interoperability. Learn how AI could potentially change the #clinicaltrial landscape with these shifts: https://ow.ly/ck8s50QxpqP

The way in which we find and create new drugs may be about to transform forever... 📣 Read this article from Mark Hahnel, VP of Open Research at Digital Science, about how AI can revolutionize the potential of drug discovery, and how the #Dimensions Knowledge Graph can support this technological shift. 🔗 https://lnkd.in/eA5YzGxi Dimensions #KnowledgeGraph #AI #PublicData #Research #SemanticWeb #LinkedData #LLM

In a new article from #WhySocialScience?, Carlotta M. Arthur, PhD, Executive Director of the Division of Behavioral and Social Sciences and Education, and Emanuel Robinson, Director of the Board on Human-Systems Integration, discuss the importance of incorporating the social and behavioral sciences in artificial intelligence (AI) development, deployment, implementation, and use so that AI can be optimally, positively effective while minimizing risks of harm to society. Social science approaches can help understand and address these technologies’ reach, implications, and impact within these AI systems. Read the article: https://ow.ly/ITk550R60r5 Consortium of Social Science Associations (COSSA) #AI #ArtificialIntelligence #SocialScience

Artificial Intelligence is already making an impact in the world of drug discovery. Think of the time, resourcing and efficiency gains from the removal of (human) cognitive bias from the research process combined with accelerated data processing. The opportunities are astounding #AI #artificialintelligence

Join us remotely or in person (HUID req.) at Nye ABC on 10/7/24 as we unravel the mysteries and possibilities of #AI in our economy with Harvard Kennedy School's David Deming, moderated by #MRCBG's Director Lawrence H. Summers. This talk will explore how artificial intelligence could reshape the #labor market and how employees are currently utilizing it. Ready to explore and prepare for the future of #work? The Project on Workforce at Harvard https://lnkd.in/eBGD2d3z #ArtificialIntelligence