Lifeboat Foundation

“The way we teach critical thinking will change with AI,” said Dr. Stephen Aguilar. “Students will need to judge when, how and for what purpose they will use generative AI. Their ethical perspectives will drive those decisions.”

Can AI be integrated into the classroom? This is what a recent study titled “AI in K-12 Classrooms: Ethical Considerations and Lessons Learned” hopes to address and is one of three studies published in the “Critical Thinking and Ethics in the Age of Generative AI in Education” report by the USC Center for Generative AI and Society. The purpose of the study is to examine the ethics behind how teachers should use AI in the classroom and holds the potential for academics, researchers, and institutional leaders to better understand the implications of AI for academic purposes.

“The way we teach critical thinking will change with AI,” said Dr. Stephen Aguilar, who is the associate director for the USC Center for Generative AI and Society and one of the authors of the study. “Students will need to judge when, how and for what purpose they will use generative AI. Their ethical perspectives will drive those decisions.”

Continue reading “Ethics and AI in Education: Self-Efficacy, Anxiety, and Ethical Judgments” »

Recent neuroscience reveals insights into the gut-brain link, vision, addiction relapse, memory, autism, infant cognition, and moral judgments. The findings offer new treatment avenues and highlight the brain’s complex functions.

Hybrid Intelligence, an emerging field at the intersection of human intellect and artificial intelligence (AI), is redefining the boundaries of what can be achieved when humans and machines collaborate. This synergy leverages the creativity and emotional intelligence of humans with the computational power and efficiency of machines. Let’s explore how hybrid intelligence is augmenting human capabilities, with real examples and its impacts on the human workforce.

Hybrid intelligence is not just about AI assisting humans; it’s a deeper integration where both sets of intelligence complement each other’s strengths and weaknesses. While AI excels in processing vast amounts of data and pattern recognition, it lacks the emotional intelligence, creativity, and moral reasoning humans possess. Hybrid systems are designed to capitalize on these respective strengths, leading to outcomes that neither could achieve alone.

In the healthcare sector, hybrid intelligence is enhancing diagnostic accuracy and treatment efficiency. IBM’s Watson Health, for example, assists doctors in diagnosing and developing treatment plans for cancer patients. By analyzing medical literature and patient data, Watson provides recommendations based on the latest research, which doctors then evaluate and contextualize based on their professional judgment and patient interaction.

Mainly this is about vertical farming.

In this eye-opening video, we explore the complex Environmental Impacts of an Aging Cure, delving into how extending Human Lifespan and pursuing Longevity could reshape our planet. We investigate the potential for increased Population Growth, the challenges of Sustainability, and the implications for Resource Consumption. Our analysis covers the Ecological Footprint of a world where aging is a thing of the past, addressing both the ethical dilemmas and the potential for Biomedical Advances in Age-Related Research. As concerns about Overpopulation and the need for Renewable Resources come to the forefront, we examine Eco-friendly Technologies and their role in supporting an age-extended society. Join us in this critical discussion about the intersection of Environmental Ethics and the quest for Age Extension.

Continue reading “How Will An AGING CURE Impact The Environment?” »

The nature of work is evolving at an unprecedented pace. The rise of generative AI has accelerated data analysis, expedited the production of software code and even simplified the creation of marketing copy.

Those benefits have not come without concerns over job displacement, ethics and accuracy.

At the 2024 Consumer Electronics Show (CES), IEEE experts from industry and academia participated in a panel discussion discussing how the new tech landscape is changing the professional world, and how universities are educating students to thrive in it.

Large language models (LLMs), deep learning-based models trained to generate, summarize, translate and process written texts, have gained significant attention after the release of Open AI’s conversational platform ChatGPT. While ChatGPT and similar platforms are now widely used for a wide range of applications, they could be vulnerable to a specific type of cyberattack producing biased, unreliable or even offensive responses.

Researchers at Hong Kong University of Science and Technology, University of Science and Technology of China, Tsinghua University and Microsoft Research Asia recently carried out a study investigating the potential impact of these attacks and techniques that could protect models against them. Their paper, published in Nature Machine Intelligence, introduces a new psychology-inspired technique that could help to protect ChatGPT and similar LLM-based conversational platforms from cyberattacks.

“ChatGPT is a societally impactful artificial intelligence tool with millions of users and integration into products such as Bing,” Yueqi Xie, Jingwei Yi and their colleagues write in their paper. “However, the emergence of jailbreak attacks notably threatens its responsible and secure use. Jailbreak attacks use adversarial prompts to bypass ChatGPT’s ethics safeguards and engender harmful responses.”

Stupidity, as defined by Dietrich Bonhoeffer, is a moral defect and willful refusal to engage in critical thinking, and it can spread like a contagion, leading to dire consequences for society.

Questions to inspire discussion.

Continue reading “The Theory of Stupidity by Dietrich Bonhoeffer: A Moral Defect with Dire Consequences” »

Organoid intelligence is the growing of mini-brains from human stem cells, which has potential benefits for medical research and treatments.

However, there are significant ethical concerns related to the possibility of creating conscious entities and the potential for misuse. Organoid intelligence could offer valuable insights into neurological diseases, but we must establish a framework for their creation and treatment to ensure ethical use. As we continue to develop this technology, we must approach it with caution due to the potential dire consequences of its misuse.

Continue reading “Organoid Intelligence Overtaking AI” »

Ontology, the ideas we have about the nature of reality, and epistemology, our concepts about how to gain knowledge about the world, are interdependent. Currently, the dominant ontology in science is a materialist model, and associated with it an empiricist epistemology. Historically speaking, there was a more comprehensive notion at the cradle of modern science in the middle ages. Then “experience” meant both inner, or first person, and outer, or third person, experience. With the historical development, experience has come to mean only sense experience of outer reality. This has become associated with the ontology that matter is the most important substance in the universe, everything else-consciousness, mind, values, etc.,-being derived thereof or reducible to it. This ontology is insufficient to explain the phenomena we are living with-consciousness, as a precondition of this idea, or anomalous cognitions. These have a robust empirical grounding, although we do not understand them sufficiently. The phenomenology, though, demands some sort of non-local model of the world and one in which consciousness is not derivative of, but coprimary with matter. I propose such a complementarist dual aspect model of consciousness and brain, or mind and matter. This then also entails a different epistemology. For if consciousness is coprimary with matter, then we can also use a deeper exploration of consciousness as happens in contemplative practice to reach an understanding of the deep structure of the world, for instance in mathematical or theoretical intuition, and perhaps also in other areas such as in ethics. This would entail a kind of contemplative science that would also complement our current experiential mode that is exclusively directed to the outside aspect of our world. Such an epistemology might help us with various issues, such as good theoretical and other intuitions.

Keywords: complementarity; consciousness; contemplative science; dual aspect model; epistemology; introspection; materialism; ontology.

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