The American Psychological Association (APA) has released a report calling for developers to prioritize features that protect adolescents from exploitation, manipulation, and erosion of real-world relationships in the age of artificial intelligence (AI). The report, “Artificial Intelligence and Adolescent Well-being: An APA Health Advisory,” warns against repeating the mistakes made with social media and urges stakeholders to ensure youth safety is considered early in AI development.

The APA expert advisory panel notes that adolescence is a complex period of brain development, spanning ages 10-25. During this time, age is not a foolproof marker for maturity or psychological competence. The report emphasizes the need for special safeguards aimed at younger users.

“We urge all stakeholders to ensure youth safety is considered relatively early in the evolution of AI,” said APA Chief of Psychology Mitch Prinstein, PhD. “AI offers new efficiencies and opportunities, yet its deeper integration into daily life requires careful consideration to ensure that AI tools are safe, especially for adolescents.”

The report makes several recommendations to make certain that adolescents can use AI safely:

1. Healthy boundaries with simulated human relationships: Ensure that adolescents understand the difference between interactions with humans and chatbots.
2. Age-appropriate defaults in privacy settings, interaction limits, and content: Implement transparency, human oversight, support, and rigorous testing to safeguard adolescents’ online experiences.
3. Encourage uses of AI that promote healthy development: Assist students in brainstorming, creating, summarizing, and synthesizing information while acknowledging AI’s limitations.
4. Limit access to and engagement with harmful and inaccurate content: Build protections to prevent adolescents from exposure to damaging material.
5. Protect adolescents’ data privacy and likenesses: Limit the use of adolescents’ data for targeted advertising and sale to third parties.

The report also calls for comprehensive AI literacy education, integrating it into core curricula and developing national and state guidelines for literacy education.

Additional Resources:

* Report:
* Guidance for parents on AI and keeping teens safe: [APA.org](http://APA.org)
* Resources for teens on AI literacy: [APA.org](http://APA.org)

The human visual system has long been a source of inspiration for computer vision researchers, who aim to develop machines that can see and understand the world around them with the same level of efficiency and accuracy as humans. While machine vision systems have made significant progress in recent years, they still face major challenges when it comes to processing vast amounts of visual data while consuming minimal power.

One approach to overcoming these hurdles is through neuromorphic computing, which mimics the structure and function of biological neural systems. However, two major challenges persist: achieving color recognition comparable to human vision, and eliminating the need for external power sources to minimize energy consumption.

A recent breakthrough by a research team led by Associate Professor Takashi Ikuno from Tokyo University of Science has addressed these issues with a groundbreaking solution. Their self-powered artificial synapse is capable of distinguishing colors with remarkable precision, making it particularly suitable for edge computing applications where energy efficiency is crucial.

The device integrates two different dye-sensitized solar cells that respond differently to various wavelengths of light, generating its electricity via solar energy conversion. This self-powering capability makes it an attractive solution for industries such as autonomous vehicles, healthcare, and consumer electronics, where visual recognition capabilities are essential but power consumption is limited.

The researchers demonstrated the potential of their device in a physical reservoir computing framework, recognizing different human movements recorded in red, green, and blue with an impressive 82% accuracy. This achievement has significant implications for various industries, including autonomous vehicles, which could utilize these devices to efficiently recognize traffic lights, road signs, and obstacles.

In healthcare, self-powered artificial synapses could power wearable devices that monitor vital signs like blood oxygen levels with minimal battery drain. For consumer electronics, this technology could lead to smartphones and augmented/virtual reality headsets with dramatically improved battery life while maintaining sophisticated visual recognition capabilities.

The realization of low-power machine vision systems with color discrimination capabilities close to those of the human eye is within reach, thanks to this breakthrough research. The potential applications of self-powered artificial synapses are vast, and their impact will be felt across various industries in the years to come.

Harnessing the Power of AI: Why Leashes are Better than Guardrails for Regulation

For years, policymakers have debated the best way to regulate Artificial Intelligence (AI) to prevent its potential risks. A new paper by experts Cary Coglianese and Colton R. Crum proposes a game-changing approach: rather than imposing strict “guardrails” to control AI development, they suggest using flexible “leashes.” This management-based regulation would allow firms to innovate while ensuring public safety.

The authors argue that guardrails are not effective for AI due to its rapidly evolving nature and diverse applications. Social media, chatbots, autonomous vehicles, precision medicine, and fintech investment advisors are just a few examples of how AI is transforming industries. While offering numerous benefits, such as improved cancer detection, AI also poses risks like AV collisions, social media-induced suicides, and bias in digital formats.

Coglianese and Crum provide three case studies illustrating the potential harm from unregulated AI:

1. Autonomous vehicle (AV) crashes
2. Social media-related suicides
3. Bias and discrimination through AI-generated content

In each scenario, firms using AI tools would be expected to put their technology on a leash by implementing internal systems to mitigate potential harms. This flexible approach allows for technological innovation while ensuring that companies are accountable for the consequences of their actions.

Management-based regulation offers several advantages over guardrails:

* It can flexibly respond to AI’s novel uses and problems
* It enables technological exploration, discovery, and change
* It provides a tethered structure that helps prevent AI from “running away”

By embracing this leash-like approach, policymakers can harness the power of AI while minimizing its risks.