May 19, 2025

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Echelon Risk AI Governance, AI-Generated Content, Blood Clot Detection, and AI in Entertainment

Recent developments in the field of artificial intelligence have showcased its potential to transform various industries and aspects of life. Echelon Risk + Cyber has launched an AI Governance service to help organizations build secure and compliant AI programs. Meanwhile, AI-generated content has been used in entertainment, with President Donald Trump sharing a surreal AI-generated video of himself performing a song. In the healthcare sector, scientists at the University of Tokyo have created a non-invasive AI tool to detect potentially deadly blood clots. Additionally, companies like ALIMCO and Google are leveraging AI to enhance independence and dignity for persons with disabilities and support startups, respectively. However, concerns about the dark side of AI and its potential risks have also been raised, emphasizing the need for international accords and regulations. As AI continues to evolve, companies like Netflix and Apple are exploring its applications in advertising and product development, while others are drawing lessons from the dot-com era to build successful AI products.

Key Takeaways

  • Echelon Risk + Cyber has launched an AI Governance service to help organizations build secure and compliant AI programs.
  • AI-generated content is being used in entertainment, with President Donald Trump sharing a surreal AI-generated video of himself performing a song.
  • Scientists at the University of Tokyo have created a non-invasive AI tool to detect potentially deadly blood clots.
  • ALIMCO is introducing AI-powered systems and smart mobility aids designed for persons with disabilities.
  • Google's AI Futures Fund is providing direct investment, access to Google's Gemini AI models, and deep technical mentorship for founders pushing the edge of innovation.
  • Netflix will roll out AI-generated ads in 2026 for its ad-supported plans.
  • Apple is facing questions about its efforts to develop its own generative AI, with some critics saying the company has fallen behind its competitors.
  • The dark side of AI poses risks such as facilitating criminal conspiracies and perpetrating deep fakes, cyberattacks, and other crimes.
  • International accords and regulations are necessary to mitigate the risks associated with AI.
  • Companies can learn from the dot-com era by focusing on building proprietary data loops and solving specific user needs to build successful AI products.

Echelon Launches AI Governance Service

Echelon Risk + Cyber has launched an AI Governance service to help organizations build secure and compliant AI programs. The service uses a tailored, security-first approach to navigate complex risks and regulations. It integrates technical and compliance-focused risk management to address issues like algorithmic bias and data leakage. Echelon's Senior Cybersecurity Manager, Steve Dyson, said the service is an innovative approach to reducing risk and ensuring AI adoption is ethical and secure.

Echelon Launches AI Governance Service

Echelon Risk + Cyber has launched an AI Governance service to help organizations build secure and compliant AI programs. The service uses a tailored, security-first approach to navigate complex risks and regulations. It integrates technical and compliance-focused risk management to address issues like algorithmic bias and data leakage. Echelon's Senior Cybersecurity Manager, Steve Dyson, said the service is an innovative approach to reducing risk and ensuring AI adoption is ethical and secure.

Trump Posts AI Video of Himself

President Donald Trump shared a surreal AI-generated video of himself performing Journey's song 'Don't Stop Believin'' in front of a flag-waving crowd. The video was created using AI technology and shows Trump singing and playing instruments. The choice of song is contentious, as Journey's keyboard player had previously sent a cease-and-desist letter to Trump for using the song without permission. The video has sparked mixed reactions, with some finding it entertaining and others criticizing its use of AI-generated content.

ALIMCO Integrates AI in Prosthetics

The Artificial Limbs Manufacturing Corporation of India (ALIMCO) is introducing a new lineup of assistive technologies featuring integrated artificial intelligence components. The innovations include AI-powered systems and smart mobility aids designed for persons with disabilities. ALIMCO's CMD, Praveen Kumar, said the goal is to build a future where no one is left behind, and the organization is leveraging AI and indigenous innovation to enhance independence and dignity.

AI Breakthrough in Blood Clot Detection

Scientists at the University of Tokyo have created a non-invasive AI tool to detect potentially deadly blood clots before they strike. The tool uses a powerful microscope to monitor platelets in real-time and can distinguish between a single platelet and a clump of platelets. The researchers tested the technique on over 200 patients and found that people with more serious heart problems had more clumping in their blood. The innovation has the potential to change the standard of care for patients with coronary heart disease.

The Dark Side of AI

The future of artificial intelligence is uncertain, and there is a risk that AI could have a dark side. AI has the potential to facilitate the creation of vast criminal conspiracies and perpetrate deep fakes, cyberattacks, and other crimes. There is also a risk that AI could lead to human extinction, with 50% of AI experts believing that there is a 10% chance of this happening. To mitigate these risks, it is essential to establish international accords and regulations to secure the internet and create effective forms of online governance.

MCP Blender Addon Enables AI Integration

The BlenderMCP addon connects the open-source 3D modeling software Blender to Anthropic's Claude AI via the Model Context Protocol (MCP). This allows Claude to directly use Blender and its tools in a meaningful way. The addon provides standardization and enables AI systems to exchange information and perform work that involves an iterative approach. The MCP framework can be used with other AI systems and software, making it a useful tool for AI integration.

Google's AI Futures Fund Supports Startups

Google's AI Futures Fund is a major AI initiative that provides direct investment, access to Google's Gemini AI models, and deep technical mentorship for founders pushing the edge of innovation. The fund focuses on helping founders build transformative products powered by Gemini and offers hands-on support from Google's research and engineering teams. The fund also provides cloud credits to scale AI development and is part of Google's broader commitment to AI ecosystem growth.

Netflix to Use AI-Generated Ads

Netflix will roll out AI-generated ads in 2026 that will play in the middle of a show or whenever users hit pause for its ad-supported plans. The ads will use generative AI for custom content and are part of Netflix's efforts to find new ways to generate revenue. The company has already used AI in other areas, such as a new search feature that uses OpenAI to find something to watch.

Apple Falls Behind in AI Race

Apple is facing questions about its efforts to develop its own generative AI, with some critics saying the company has fallen behind its competitors. Apple has made big presentations about its AI tools, but some say the company has not delivered on its promises. The company is facing challenges in keeping up with the rapid pace of AI innovation, and its efforts to develop its own AI technology have been slow to materialize.

Learning from the Dot-Com Era

The dot-com era provides valuable lessons for the current AI boom. Companies that survived the dot-com crash were not chasing hype, but solving real problems and scaling with purpose. AI is no different, and companies that focus on building proprietary data loops and solving specific user needs will be the ones that thrive. It is essential to start small, find a wedge, and scale deliberately, rather than trying to build an AI that does everything. By learning from the past, companies can avoid making the same mistakes and build successful AI products.

Sources

AI Governance Artificial Intelligence Machine Learning Cybersecurity Data Privacy AI Ethics