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- Sept 9 - 14, 2024 | Inside AI Robotics
Sept 9 - 14, 2024 | Inside AI Robotics
1.3B Invested in AI | Energy Use in Data Centres | Humanoid Robots Ex. | AI Impact on Mental Health | Engaging with AI in Healthcare
Inside AI Robotics
Inside AI Robotics DATE
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The Evolving Landscape of AI Robotics and Social Work
Robotics Investments top $1.3B in July
In this article from therobotreport.com it says that in July 2024, robotics investments saw a significant uptick, with companies raising approximately $1.3 billion, exceeding the previous year's average of $1.2 billion. This brings the total investments for the first seven months of 2024 to about $9.7 billion, a notable increase from $8 billion during the same period in 2023.
These trends in robotics investments can significantly impact social work in various ways. First, advancements in robotics technologies can streamline service delivery by automating administrative tasks, allowing social workers to concentrate more on client interactions and case management. Additionally, the development of assistive devices for individuals with disabilities, elderly populations, and those requiring physical support can enhance mobility, communication, and overall quality of life.
Robotics and AI can also facilitate better data collection and analysis, helping social workers identify trends, assess community needs, and tailor interventions more effectively. Furthermore, social work education programs may begin to incorporate training on working alongside robotic systems, preparing future professionals for a tech-enhanced landscape.
However, the rise of robotics in social contexts raises ethical questions regarding privacy, dependency on technology, and the human aspects of care, necessitating that social workers navigate these issues to ensure technology enhances rather than replaces human interaction.
Lastly, as robotics technologies become more prevalent, ensuring equitable access will be crucial, and social workers can advocate for underserved populations to benefit from these advancements. Overall, the growing investment in robotics presents both opportunities and challenges for the field of social work, highlighting the need for adaptation and ethical considerations in integrating technology into practice.
AI Robotics News and Updates
Highlights of AI Energy Use in Data Centres
This LinkedIn post highlights the significant energy consumption of large language models (LLMs) like ChatGPT, which poses a significant challenge to their widespread adoption. The data centers used to train and run these models consume vast amounts of electricity, contributing to a growing power crunch in the U.S.
Specifically, the post notes that ChatGPT uses over 10 times the electricity of a typical internet search, and the data centers used to train and run these models have many experts concerned. The roughly 2,700 data centers in the U.S. consumed over 4% of all electricity in 2022, projected to more than double to 9% by 2030 as more companies transition to AI and cloud-based services.
To address this issue, the post suggests several solutions, including:
* Implementing more sustainable legislation for data centers
* Developing more energy-efficient LLMs
* Modernizing the power grid
By taking these steps, we can help mitigate the environmental impact of AI while ensuring its continued development and adoption.
Humanoid Robotics Example
Humanoid Robotics coming to your workplace and home ✅
Practical Applications of AI Robotics in Social Work
In this article AI and robotics are transforming mental health care, particularly in autism treatment. Robots, with their predictable behavior and lack of emotion, are proving effective in teaching social skills and communication to autistic children. Companies are now mass-producing robots specifically for this purpose. AI is also revolutionizing remote counseling, providing accessible and convenient care through large language models like ChatGPT. Additionally, AI is assisting therapists by analyzing patient data and providing insights, improving treatment outcomes. This article emphasizes the significant progress of AI and robotics in addressing the challenges of accessibility, availability, and treatment quality in mental health care.
Ethical Discussion of AI Robotics in Social Work
Social workers play a vital role in the effective integration and application of AI technologies within healthcare settings. To fully leverage the advantages of AI, it is essential that:
Embrace AI Tools
Social workers should adopt AI technologies in their practice to improve patient assessments, tailor interventions, and enhance service delivery. Embracing AI involves staying updated on the latest developments and understanding how to effectively apply these tools to support holistic care.
Participate in Training
Ongoing education and training on AI tools and their applications are crucial for social workers. Engaging in training programs will help professionals grasp the capabilities and limitations of AI technologies and learn how to interpret AI-generated insights effectively.
Policymakers:
Support Research and Development
Policymakers should champion and fund research initiatives aimed at advancing AI technologies in social services and healthcare. By supporting innovation, we can ensure that AI solutions are effective, equitable, and responsive to the needs of diverse populations.
Establish Ethical Guidelines
It is critical to develop and enforce ethical guidelines and regulatory standards for AI in social work and healthcare. Policymakers should address concerns related to data privacy, algorithmic bias, and the fair deployment of AI technologies to guarantee that all communities benefit from these advancements.
Conclusion
AI has the potential to significantly enhance patient care and service delivery, presenting unique opportunities for improving outcomes in social work and healthcare. Ongoing investment and research are essential to advancing these technologies and overcoming challenges. Social workers and policymakers must work together to adopt AI, foster innovation, and establish ethical frameworks to ensure that AI positively impacts the future of social work and healthcare.
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Published each week by David Brady MSW
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