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Category: ethics – Page 3

Dr. Masayo Takahashi graduated from Kyoto University’s Faculty of Medicine in 1986. In 1992, she completed her Ph.D. in Visual Pathology at Kyoto University’s Graduate School of Medicine. She first worked as a clinician, but later became interested in research following her studies in the United States in 1995. In 2005, her lab became the first in the world to successfully differentiate neural retina from embryonic stem cells. She is currently the project leader of the Laboratory for Retinal Regeneration at the RIKEN Center for Developmental Biology (CDB).

Recently in Japan they restored vision of three people using puliportent stem cells.

Then, in March 2017, Dr. Takahashi and her team made another important step forward. While the 2014 surgery had used cells generated from the patient’s own tissues, Dr. Takahashi and her team succeeded this time in the world’s first transplantation of RPE cells generated from iPS cells that originated from another person (called “allogeneic transplantation”) to treat a patient with wet-type AMD. Currently, the patient is being monitored for the possibility of rejection, which is a risk of allogeneic transplantation. Regarding the significance of the operation, Dr. Takahashi explains that “allogeneic transplantation substantially reduces the time and cost required in producing RPE cells, creating opportunities for even more patients to undergo surgeries. Hearing patients’ eager expectations firsthand when working as a clinician has also been a significant motivation.”

Dr. Takahashi’s team is currently making preparations for clinical studies that will target retinitis pigmentosa, a hereditary eye disease, by transplanting photoreceptor cells. “Having my mind set on wanting to see applications of iPS cells in treatments as quickly as possible, I have been actively involved in the creation of the regulations for their practical applications in regenerative medicine. In Japan, where clinical studies and clinical trials can be conducted at the same time, there is significant merit in the fact that research can be carried out by doctors who also work in medical settings. This helps ensure that they proceed with a sense of responsibility and strong ethics. Our advanced clinical studies have attracted the attention of researchers working in regenerative medicine in various countries. I intend to maintain a rapid pace of research so that we can treat the illnesses of as many patients as possible.”

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Professor Graham Oppy discusses the Turing Test, whether AI can understand, whether it can be more ethical than humans, moral realism, AI alignment, incoherence in human value, indirect normativity and much more.

Chapters:
0:00 The Turing test.
6:06 Agentic LLMs.
6:42 Concern about non-anthropocentric intelligence.
7:57 Machine understanding & the Chinese Room argument.
10:21 AI ‘grokking’ — seemingly understanding stuff.
13:06 AI and fact checking.
15:01 Alternative tests for assessing AI capability.
17:35 Moral Turing Tests — Can AI be highly moral?
18:37 Philosophy’s role in AI development.
21:51 Can AI help progress philosophy?
23:48 Increasing percision in the language of philosophy via technoscience.
24:54 Should philosophers be more involved in AI development?
26:59 Moral realism & fining universal principles.
31:02 Empiricism & moral truth.
32:09 Challenges to moral realism.
33:09 Truth and facts.
36:26 Are suffering and pleasure real?
37:54 Signatures of pain.
39:25 AI leaning from morally relevant features of reality.
41:22 AI self-improvement.
42:36 AI mind reading.
43:46 Can AI learn to care via moral realism?
45:42 Bias in AI training data.
46:26 Metaontology.
48:27 Is AI conscious?
49:45 Can AI help resolve moral disagreements?
51:07 ‘Little’ philosophical progress.
54:09 Does the human condition prevent or retard wide spread value convergence?
55:04 Difficulties in AI aligning to incoherent human values.
56:30 Empirically informed alignment.
58:41 Training AI to be humble.
59:42 Paperclip maximizers.
1:00:41 Indirect specification — avoiding AI totalizing narrow and poorly defined goals.
1:02:35 Humility.
1:03:55 Epistemic deference to ‘jupiter-brain’ AI
1:05:27 Indirect normativity — verifying jupiter-brain oracle AI’s suggested actions.
1:08:25 Ideal observer theory.
1:10:45 Veil of ignorance.
1:13:51 Divine psychology.
1:16:21 The problem of evil — an indifferent god?
1:17:21 Ideal observer theory and moral realism.

See Wikipedia article on Graham Oppy: https://en.wikipedia.org/wiki/Graham_… https://twitter.com/oppygraham #AI #philosophy #aisafety #ethics Many thanks for tuning in! Please support SciFuture by subscribing and sharing! Have any ideas about people to interview? Want to be notified about future events? Any comments about the STF series? Please fill out this form: https://docs.google.com/forms/d/1mr9P… Kind regards, Adam Ford

x: https://twitter.com/oppygraham.

#AI #philosophy #aisafety #ethics.

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What does it take for a kind, compassionate, and ethical person to commit acts of cruelty? Why do ordinary individuals sometimes cross the line into darkness?

In this video, we explore the psychological forces behind human behavior, delving into Philip Zimbardo’s groundbreaking Stanford Prison Experiment, Stanley Milgram’s obedience studies, and historical events that reveal the thin line between good and evil. From the power of authority and dehumanization to the roles society imposes, discover the mechanisms that can corrupt even the most virtuous among us.

But this isn’t just about others—it’s about you. Could you resist these forces? Are you aware of how they operate in your daily life?

By the end, you’ll learn practical strategies to recognize and resist these influences, uncovering your potential for moral courage, empathy, and heroism. This video will challenge your perspective on human nature and inspire you to act with integrity in a world where the battle between good and evil is ever-present.

Watch now to uncover the most transformative insight of all—the power of choice in shaping a better world.

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Teaching healthy lifestyle behaviors to very young children is foundational to their future habits. Previous evidence suggests that philosophical thinking (PT) can help children develop moral values, cognitive skills, and decision-making abilities.

A recent study published in BMC Public Health explores the role of PT in assisting preschoolers to adopt healthy lifestyle behaviors. Some of these habits include being physically active, eating healthy, washing hands properly, having respect for one’s body, being aware of one’s needs, feelings, abilities, and responsibilities, getting sufficient sleep, and sharing one’s thoughts with others.

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Artificial consciousness is the next frontier in AI. While artificial intelligence has advanced tremendously, creating machines that can surpass human capabilities in certain areas, true artificial consciousness represents a paradigm shift—moving beyond computation into subjective experience, self-awareness, and sentience.

In this video, we explore the profound implications of artificial consciousness, the defining characteristics that set it apart from traditional AI, and the groundbreaking work being done by McGinty AI in this field. McGinty AI is pioneering new frameworks, such as the McGinty Equation (MEQ) and Cognispheric Space (C-space), to measure and understand consciousness levels in artificial and biological entities. These advancements provide a foundation for building truly conscious AI systems.

The discussion also highlights real-world applications, including QuantumGuard+, an advanced cybersecurity system utilizing artificial consciousness to neutralize cyber threats, and HarmoniQ HyperBand, an AI-powered healthcare system that personalizes patient monitoring and diagnostics.

However, as we venture into artificial consciousness, we must navigate significant technical challenges and ethical considerations. Questions about autonomy, moral status, and responsible development are at the forefront of this revolutionary field. McGinty AI integrates ethical frameworks such as the Rotary Four-Way Test to ensure that artificial consciousness aligns with human values and benefits society.

Join us as we explore the next chapter in artificial intelligence—the dawn of artificial consciousness. What does the future hold for humanity and AI? Will artificial consciousness enhance our world, or does it come with unforeseen risks? Watch now to learn more about this groundbreaking technology and its potential to shape the future.

#ArtificialConsciousness #AI #MachineConsciousness #FutureOfAI #SelfAwareAI #SentientAI #McGintyEquation #QuantumAI #CognisphericSpace #AIvsConsciousness #AIEthics #QuantumComputing #AIRevolution #ArtificialIntelligence #AIHealthcare #QuantumGuard #HarmoniQHyperBand #CybersecurityAI #AIInnovation #AIPhilosophy #mcgintyequation

Continue reading “Artificial Consciousness: The Next Evolution in AI” | >

Unlike traditional RLHFs, which only provide feedback after an assessment has been completed, pBCIs capture implicit, real-time information about the user’s cognitive and emotional state throughout the interaction. This allows the AI to access more comprehensive, multidimensional feedback, including intermediate decisions, judgments and thought processes. By observing brain activity when assessing situations, pBCIs provide a more comprehensive understanding of user needs and enable the AI to adapt more effectively and proactively.

By combining RLHF with pBCIs, we can elevate AI alignment to a new level—capturing richer, more meaningful information that enhances AI’s responsiveness, adaptability and effectiveness. This combination, called neuroadaptive RLHF, retains the standard RLHF approach but adds more detailed feedback through pBCIs in an implicit and unobtrusive way. Neuroadaptive RLHF allows us to create AI models that better understand and support the user, saving time and resources while providing a seamless experience.

The integration of RLHF with pBCIs presents both opportunities and challenges. Among the most pressing concerns are privacy and ethics, as pBCIs capture sensitive neural data. Ensuring proper consent, secure storage and ethical use of this data is critical to avoid misuse or breaches of trust.

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I was recently a co-author on a paper about anticipatory governance and genome editing. The lead author was Jon Rueda, and the others were Seppe Segers, Jeroen Hopster, Belén Liedo, and Samuela Marchiori. It’s available open access here on the Journal of Medical Ethics website. There is a short (900 word) summary available on the JME blog. Here’s a quick teaser for it:

Transformative emerging technologies pose a governance challenge. Back in 1980, a little-known academic at the University of Aston in the UK, called David Collingridge, identified the dilemma that has come to define this challenge: the control dilemma (also known as the ‘Collingridge Dilemma’). The dilemma states that, for any emerging technology, we face a trade-off between our knowledge of its impact and our ability to control it. Early on, we know little about it, but it is relatively easy to control. Later, as we learn more, it becomes harder to control. This is because technologies tend to diffuse throughout society and become embedded in social processes and institutions. Think about our recent history with smartphones. When Steve Jobs announced the iPhone back in 2007, we didn’t know just how pervasive and all-consuming this device would become. Now we do but it is hard to put the genie back in the bottle (as some would like to do).

The field of anticipatory governance tries to address the control dilemma. It aims to carefully manage the rollout of an emerging technology so as to avoid the problem of losing control just as we learn more about the effects of the technology. Anticipatory governance has become popular in the world of responsible innovation and design. In the field of bioethics, approaches to anticipatory governance often try to anticipate future technical realities, ethical concerns, and incorporate differing public opinion about a technology. But there is a ‘gap’ in current approaches to anticipatory governance.

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• Ethics: As AI gets more powerful, we need to address ethics such as bias in algorithms, misuse, privacy and civil liberties.

• AI Regulation: Governments and organizations will need to develop regulations and guidelines for the responsible use of AI in cybersecurity to prevent misuse and ensure accountability.

AI is a game changer in cybersecurity, for both good and bad. While AI gives defenders powerful tools to detect, prevent and respond to threats, it also equips attackers with superpowers to breach defenses. How we use AI for good and to mitigate the bad will determine the future of cybersecurity.

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