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In this episode of the Eye on AI podcast, we dive into the world of Artificial General Intelligence (AGI) with Ben Goertzel, CEO of SingularityNET and a leading pioneer in AGI development.

Ben shares his vision for building machines that go beyond task-specific capabilities to achieve true, human-like intelligence. He explores how AGI could reshape society, from revolutionizing industries to redefining creativity, learning, and autonomous decision-making.

Throughout the conversation, Ben discusses his unique approach to AGI, which combines decentralized AI systems and blockchain technology to create open, scalable, and ethically aligned AI networks. He explains how his work with SingularityNET aims to democratize AI, making AGI development transparent and accessible while mitigating risks associated with centralized control.

Ben also delves into the philosophical and ethical questions surrounding AGI, offering insights into consciousness, the role of empathy, and the potential for building machines that not only think but also align with humanity’s best values. He shares his thoughts on how decentralized AGI can avoid the narrow, profit-driven goals of traditional AI and instead evolve in ways that benefit society as a whole.

There are contexts where human cognitive and emotional intelligence takes precedence over AI, which serves a supporting role in decision-making without overriding human judgment. Here, AI “protects” human cognitive processes from things like bias, heuristic thinking, or decision-making that activates the brain’s reward system and leads to incoherent or skewed results. In the human-first mode, artificial integrity can assist judicial processes by analyzing previous law cases and outcomes, for instance, without substituting a judge’s moral and ethical reasoning. For this to work well, the AI system would also have to show how it arrives at different conclusions and recommendations, considering any cultural context or values that apply differently across different regions or legal systems.

4 – Fusion Mode:

Artificial integrity in this mode is a synergy between human intelligence and AI capabilities combining the best of both worlds. Autonomous vehicles operating in Fusion Mode would have AI managing the vehicle’s operations, such as speed, navigation, and obstacle avoidance, while human oversight, potentially through emerging technologies like Brain-Computer Interfaces (BCIs), would offer real-time input on complex ethical dilemmas. For instance, in unavoidable crash situations, a BCI could enable direct communication between the human brain and AI, allowing ethical decision-making to occur in real-time, and blending AI’s precision with human moral reasoning. These kinds of advanced integrations between humans and machines will require artificial integrity at the highest level of maturity: artificial integrity would ensure not only technical excellence but ethical robustness, to guard against any exploitation or manipulation of neural data as it prioritizes human safety and autonomy.

Delivering Innovative, Compassionate And Accessible Patient Care — Robert Stone, CEO — City of Hope & Dr. Marcel van den Brink, MD, PhD, President, City of Hope Comprehensive Cancer Center.

Robert Stone is the CEO of City of Hope (https://www.cityofhope.org/robert-stone), a premier cancer research and treatment center dedicated to innovation in biomedical science and the delivery of compassionate, world-class patient care. A seasoned health care executive, he has served in a number of strategic decision-making roles since he joined City of Hope in 1996, culminating with his appointment as president in 2012, CEO in 2014, and as the Helen and Morgan Chu Chief Executive Officer Distinguished Chair in 2021.

Mr. Stone has J.D., University of Chicago Law School, Chicago, IL.

Mr. Stone’s strategic acumen, empathy and visionary leadership have driven City of Hope’s rapid evolution.

As an independent institution dedicated to advancing the fight against cancer and diabetes, City of Hope is accelerating opportunities for high-impact discovery and ensuring that patients around the world have access to the most advanced therapies. Recent examples include a groundbreaking alliance in precision medicine with the Translational Genomics Research Institute (TGen), a leader in genomic analysis and bioinformatics; leadership in CAR T cell therapy research and therapy; and an innovative program to offer cancer support services to the employees of some of American’s largest employers, regardless of geography.

In the last few years, City of Hope has expanded access to its exceptional, patient-centered care, growing from a single site outside of Los Angeles to a clinical network spanning dozens of locations throughout the United States.

Mr. Stone recently was named Hospital CEO of the Year by the Los Angeles Business Journal and has been listed in the Los Angeles Business Journal’s Top 500 for five years. He was elected to the Healthcare Leadership Council, a nationwide policy advocacy organization, in 2017.

Dr. Marcel van den Brink, M.D., Ph.D.(https://www.cityofhope.org/marcel-van…), is President of City of Hope Cancer Center, main campus in Los Angeles, and National Medical Center, chief physician executive and the Deana and Steve Campbell Chief Physician Executive Distinguished Chair, and is a globally recognized leader in the basic and translational science of bone marrow transplantation (BMT), the microbiome and cancer immunotherapy. His specialties include immune reconstitution and graft-versus-host disease — side effects many BMT patients experience — as well as the impact of the microbiome on immunotherapy for cancer.

Chatbots can wear a lot of proverbial hats: dictionary, therapist, poet, all-knowing friend. The artificial intelligence models that power these systems appear exceptionally skilled and efficient at providing answers, clarifying concepts, and distilling information. But to establish trustworthiness of content generated by such models, how can we really know if a particular statement is factual, a hallucination, or just a plain misunderstanding?

In many cases, AI systems gather external information to use as context when answering a particular query. For example, to answer a question about a medical condition, the system might reference recent research papers on the topic. Even with this relevant context, models can make mistakes with what feels like high doses of confidence. When a model errs, how can we track that specific piece of information from the context it relied on — or lack thereof?

To help tackle this obstacle, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers created ContextCite, a tool that can identify the parts of external context used to generate any particular statement, improving trust by helping users easily verify the statement.

The ContextCite tool from MIT CSAIL can find the parts of external context that a language model used to generate a statement. Users can easily verify the model’s response, making the tool useful in fields like health care, law, and education.

DEADLINE APPROACHING! The NEH program is accepting applications through Dec. 11, 2024. For more information, visit.

For organizations in areas affected by Hurricane Helene in FL, GA, SC, NC, VA and TN, optional prospectuses will be accepted until Oct 16th. The prospectus must use the Prospectus Template.

The Humanities Research Centers on Artificial Intelligence program aims to support a more holistic understanding of artificial intelligence (AI) in the modern world through the creation of new humanities research centers on artificial intelligence at eligible institutions. Centers must focus their scholarly activities on exploring the ethical, legal, or societal implications of AI.

A Center supports collaboration among scholars to explore a specific topic through research, as well as spreading knowledge about that research through educational or outreach activities. Centers may include scholars from diverse disciplines, but must be focused on asking humanities questions and should be led by humanists. Scholars may come from one or more institutions. NEH welcomes international collaboration, but scholars at U.S. institutions must contribute significantly to the project. This program is for establishing new Centers; existing Centers and Institutes are not eligible in this competition. Only one application per institution is permitted in this competition. For the purposes of this limitation, branch campuses are considered separately and each may submit one application.

Elon Musk has predicted that AI will surpass doctors and lawyers after a study revealed OpenAI’s ChatGPT-4 outperformed medical professionals in diagnosing illnesses.

What Happened: A study reported by The New York Times revealed that AI achieved a 90% accuracy rate, compared to 76% for doctors using ChatGPT as a tool and 74% for doctors relying on traditional resources.

Following the publication of the report, Bindu Reddy, CEO of Abacus. AI, stated that an AI doctor with access to all lab reports would be able to diagnose problems and suggest remedies better than most human doctors.

NSO Group exploited WhatsApp to install Pegasus spyware even after Meta sued, controlling operations themselves, not clients, legal documents reveal.

All lawyers, from in-house counsel and law firms, to barristers and judges, need to embrace the use of generative artificial intelligence (AI). Why? Because it will become an indispensable productivity tool across the legal profession.

The conservation law is a fundamental tool that significantly aids our quest to understand the world, playing a crucial role across various scientific disciplines. Particularly in strong-field physics, these laws enhance our comprehension of atomic and molecular structures as well as the ultrafast dynamics of electrons.

A wildfire destroyed 90% of a town in California. Now, it’s using building ordinances to entice insurance companies back. Could Washington soon follow the strategy?