Experts have outlined their main concerns about AI safety, focusing on three major areas: safety risks, societal risks, and existential risks. When asked, “What worries you most about AI safety?” they pointed to various challenges.
Safety risks include the creation of AI systems that are unsafe, inaccurate, unreliable, or fail in unexpected situations. Both U.K. and Chinese experts raised concerns about AI systems not aligned with human goals or values, as well as the dangers of human-AI interactions, such as robots causing harm or accidents with self-driving cars.
Societal risks involve issues like AI misuse, such as the creation of deepfakes for fraudulent purposes. U.K. experts emphasized ethical concerns, particularly regarding AI’s impact on children and the risk of job displacement leading to high unemployment. They highlighted the need to address these issues to prevent social disruption.
Existential risks were a primary focus for some Chinese experts, who stressed the potential threats posed by advanced AI systems, including weaponization. They noted that AI’s rapid development could lead to significant and possibly irreversible global consequences.
It’s clear that addressing AI safety is essential to mitigate potential harm on a societal and global scale.
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The winds of technological change are blowing stronger than ever in the world of supply chain transformation. It’s becoming increasingly clear that purpose-built intelligent applications are shaping the future of supply chain technology, particularly in the area of supply chain data management.
Over the past three years, purpose-built intelligent applications have gathered numerous insights, serving as the glue that addresses specific issues by integrating disparate systems like ERP, EAM, and P2P. Crucially, by eliminating the necessity for impeccably organized MRO data, intelligent “systems of routine” facilitate optimization and foster collaboration among internal teams and external suppliers.
This trend of data integration repeats a bit of a significant phase in the ERP industry during the late 1990s. At that time, well-funded “middleware” companies such as Active Software, BEA Systems, and WebLogic drove the eBusiness movement, revolutionizing enterprise application and service-oriented architecture (SOA) by acting as central brokers, combining data from various applications and data types into a unified system.
In the modern supply chain landscape, new software engines powered by GenAI, deep learning, and natural language processing (NLP) have the capacity to handle significantly larger datasets compared to earlier machine learning iterations. These advanced applications can analyze complex variables, including MRO inventory and spending data, far quicker. They can help build data connections between different ERP software platforms, enabling efficient management of day-to-day operations and procurement needs.
By removing the prerequisite of “clean” data, these intelligent “systems of routine” empower enterprise manufacturers to use their existing MRO data, accelerating value creation. Consequently, this will help drive the generation of demand signals and enhances optimization across supplier networks.
How can Purpose-Built Technology Benefit Supply Chain Sustainability Data Management?
The expectation for companies to embrace sustainability has evolved from a mere preference to a societal imperative. This paradigm shift necessitates businesses to realign their operations accordingly, with particular emphasis on supply chain management.
Navigating this transition poses several challenges for organizations, including the integration of diverse data sources and the complexity of multi-tiered supply networks. Maintaining data accuracy, integrity, and accessibility further compounds these challenges.
While businesses often turn to their existing technological infrastructure to address these issues, they soon realize its limitations in managing the intricacies of sustainability data effectively.
Purpose-built technology solutions offer a tailored approach to address these challenges, facilitating improved processes, security, and efficiency. These solutions enable businesses to:
Utilize versatile data collection methods adaptable to different technological capabilities and input preferences of suppliers.
Implement consistent and recurring data collection processes to minimize information gaps and reinforce procedural standards.
Provide user-friendly interfaces for external stakeholders, simplifying the adoption process and enhancing collaboration.
Automate calculations and unit conversions to ensure accuracy and streamline reporting procedures.
Enhance assurance facilitation and auditing efficiency by improving data consistency and collaboration.
Offer comprehensive data visualization and reporting functionalities to identify trends and opportunities across the supply chain.
Resilience and Agility
Purpose-built solutions serve as a vital tool that enrich and standardize procurement and operations data across systems.
Ensuring that all parties are working from the same trusted and consistent data source eliminates the need for costly traditional data cleansing.
This is critical because the more business is automated, the more we rely on the data that drives it all. Mistakes may arise in MRO inventory if data is incomplete or if your team enters MRO material information under different names.
If you’re a manufacturer with indirect and MRO inventory, you know how bad or incomplete MRO data can lead to inventory discrepancies that result in material overages or critical shortages.
The way to get around that is in purpose-built intelligent AI applications.
Companies need to adapt quickly with greater visibility and traceability to manage risk.
The future of the supply chain lies in technological advancement. It’s time for your organization to enhance your existing technology stack with purpose-built intelligent solutions to drive better outcomes in your supply chain operations.
For more information, please contact:
Karlheinz ZUERL – CEO of GTEC (German Technology & Engineering Cooperation)
The United Nations recently hosted an event commemorating the second International Day of Zero Waste, shining a spotlight on a project launched in Türkiye aimed at lessening waste accumulation.
March 30 was designated as the International Day of Zero Waste by a resolution of the United Nations General Assembly in 2022.
This occasion presents an excellent opportunity to address a sector often overlooked in its connection to nature and biodiversity, emphasizing the crucial necessity for effective business initiatives and detailing practical approaches for businesses to succeed in this effort.
Turkish First Lady Emine Erdoğan urged concrete actions toward sustainability during the event.
In a video message sent to the event in New York, she highlighted the alarming reality of daily plastic waste equivalent to the load of 2,000 garbage trucks being dumped into oceans, rivers, and lakes.
She questioned the morality behind humanity’s creation of plastic islands, akin to continents, floating in the ocean, and pondered whether progress should not contribute to a more civilized and humane world.
Drawing from the harsh lessons of climate change and environmental pollution, she stressed the imperative to combat these challenges and take tangible steps toward sustainability in the context of the responsibility to future generations.
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Experts emphasize the significance of aligning with the European Union’s Carbon Border Adjustment Mechanism (CBAM) for Vietnamese enterprises to stay competitive and foster a sustainable value chain.
Starting October 1, the EU’s trading partners must report greenhouse gas emissions in key exports like steel, cement, aluminum, fertilizer, hydrogen, and electricity. By 2026, they’ll need to purchase CBAM certificates, priced based on EU’s Emissions Trading System.
Although initially deemed insignificant for Vietnam, CBAM’s implications are far-reaching. Failure to comply could mean hefty carbon taxes for manufacturers. The EU may also expand CBAM’s coverage to include more sectors.
Nguyen Hoa Cuong, Vice Director of the Central Institute for Economic Management, stresses the importance of ‘going green’ for commercial success, citing Bangladesh’s success in apparel exports. He urges Vietnam to prepare for CBAM to maintain competitiveness.
Researchers advocate for carbon emission reduction measures and call for a carbon pricing mechanism in Vietnam to support enterprises and enhance their EU market access.
Vietnamese enterprises are encouraged to enhance energy efficiency and reduce carbon footprints for smoother access to EU markets.
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In the print industry, carbon emissions are being reduced by incorporating recycled plastics in product design and responsibly sourcing paper and packaging materials. Notably, HP’s latest DesignJet printers have cut emissions by 7.3 tons per printer annually.
Circularity begins with sustainable materials and ethical practices in R&D, extending to customer recycling efforts to close the loop.
Regeneration initiatives, like HP’s recycling facility in Haiti, are essential for reclaiming materials and creating local employment opportunities.
Innovative technologies are revolutionizing the print industry, paving the way for increased sustainability and efficiency.
For example, smart printing, often facilitated by cloud-based apps such as HP Print OS or HP Smart, streamlines job and inventory management. This leads to significant reductions in overproduction and waste of resources like paper and ink.
Meanwhile, artificial intelligence is poised to deliver numerous societal benefits, particularly in print technology. Initially, AI will enhance system diagnostics and predictive maintenance, preempting potential issues before they arise.
This minimizes downtime and prolongs device lifespans. Additionally, AI optimizes global supply chains, identifying opportunities for greater circularity and efficiency.
By embracing a circular economy, businesses and society can significantly reduce e-waste and environmental degradation.
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