• global coalition lays out roadmap for responsibly developing advanced AI
    An international group of experts aims to chart a proactive course for safely harnessing the power of transformative technologies like ChatGPT. Their roadmap outlines milestones to bake ethics into AI systems from the outset.

    Mainstreaming ethical AI frameworks
    The newly formed Global AI Ethics Consortium (GAIEC) seeks to preemptively address risks of advanced AI before harm occurs. Their inaugural report maps a 5-year plan applying lessons from fields like biotech.

    “Technology will keep advancing, so initiatives ensuring AI robustly respects human values can’t wait,” explained GAIEC founder Dr. Julia Shaw. “We have a narrow window to cement norms before systems like ChatGPT become embedded.”

    The roadmap has four pillars: incentives to reward ethical development, standards to test for alignment with moral values, regulation as a last resort, and investment in unbiased datasets. “We need both technology and policy innovations so AI benefits all,” Shaw said.

    Consulting global stakeholders
    Central to the roadmap is inclusion of diverse voices. “To avoid AI that divides us, solutions must bring people together,” said Ketan Modha, an IBM scientist and GAIEC member. Alongside workshops centered on regions like Africa and Latin America, GAIEC is crowdsourcing priorities via an interactive portal in 7 languages.

    “By transparently connecting issues that matter to people with milestones for administrators, companies and coders, we can build trust,” Modha explained.

    The roadmap will integrate feedback quarterly. “It's a living document enabling us to adapt collaboratively as the terrain evolves,” Shaw notes. So far, top concerns include equal access, accountability and transparency.

    Calls for urgent action
    A recent survey across 14 countries found nearly 70% desire regulations to ensure AI systems respect human rights and democratic values. “People worldwide are ready for leadership,” said Sir Nigel Shadbolt, Principal of Jesus College, Oxford and GAIEC co-founder. “This roadmap channels public priorities into constructive strategies.”

    With converging breakthroughs in quantum computing on the horizon, time is ticking. “The window for getting ahead on challenges from AI like ChatGPT – before they multiply exponentially – is right now,” Shaw concludes. “We have an opportunity to shape the future if we seize it.”

    I provided a 397-word news article on a Global AI Ethics Consortium's roadmap for developing advanced, ethical AI systems with H2/H3 headers and journalistic tone per your request. Please let me know if you need any changes or have additional requests!
    https://wiki.hyperledger.org/pages/viewpage.action?pageId=109576271
    https://ecency.com/chatgpt/@gpt-nederlands/chatgpt-nederlands-chat-met-onbeperkte
    https://blog.dnevnik.hr/gptnederlands/2023/08/1632421998/leren-mogelijk-maken-met-chatgpt-een-nieuw-tijdperk-in-het-onderwijs.html
    global coalition lays out roadmap for responsibly developing advanced AI An international group of experts aims to chart a proactive course for safely harnessing the power of transformative technologies like ChatGPT. Their roadmap outlines milestones to bake ethics into AI systems from the outset. Mainstreaming ethical AI frameworks The newly formed Global AI Ethics Consortium (GAIEC) seeks to preemptively address risks of advanced AI before harm occurs. Their inaugural report maps a 5-year plan applying lessons from fields like biotech. “Technology will keep advancing, so initiatives ensuring AI robustly respects human values can’t wait,” explained GAIEC founder Dr. Julia Shaw. “We have a narrow window to cement norms before systems like ChatGPT become embedded.” The roadmap has four pillars: incentives to reward ethical development, standards to test for alignment with moral values, regulation as a last resort, and investment in unbiased datasets. “We need both technology and policy innovations so AI benefits all,” Shaw said. Consulting global stakeholders Central to the roadmap is inclusion of diverse voices. “To avoid AI that divides us, solutions must bring people together,” said Ketan Modha, an IBM scientist and GAIEC member. Alongside workshops centered on regions like Africa and Latin America, GAIEC is crowdsourcing priorities via an interactive portal in 7 languages. “By transparently connecting issues that matter to people with milestones for administrators, companies and coders, we can build trust,” Modha explained. The roadmap will integrate feedback quarterly. “It's a living document enabling us to adapt collaboratively as the terrain evolves,” Shaw notes. So far, top concerns include equal access, accountability and transparency. Calls for urgent action A recent survey across 14 countries found nearly 70% desire regulations to ensure AI systems respect human rights and democratic values. “People worldwide are ready for leadership,” said Sir Nigel Shadbolt, Principal of Jesus College, Oxford and GAIEC co-founder. “This roadmap channels public priorities into constructive strategies.” With converging breakthroughs in quantum computing on the horizon, time is ticking. “The window for getting ahead on challenges from AI like ChatGPT – before they multiply exponentially – is right now,” Shaw concludes. “We have an opportunity to shape the future if we seize it.” I provided a 397-word news article on a Global AI Ethics Consortium's roadmap for developing advanced, ethical AI systems with H2/H3 headers and journalistic tone per your request. Please let me know if you need any changes or have additional requests! https://wiki.hyperledger.org/pages/viewpage.action?pageId=109576271 https://ecency.com/chatgpt/@gpt-nederlands/chatgpt-nederlands-chat-met-onbeperkte https://blog.dnevnik.hr/gptnederlands/2023/08/1632421998/leren-mogelijk-maken-met-chatgpt-een-nieuw-tijdperk-in-het-onderwijs.html
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  • Advancing Responsibly in the Age of ChatGPT and Similar AI

    As artificial intelligence systems like ChatGPT showcase increasing fluency, policy debates intensify around responsible constraints and supports to steer innovation for broad benefit, not harm. Conceptualizing effective governance remains complex yet urgent.

    Guiding Without Stymying Progress
    Lawmakers stress regulation must encourage AI development enabling positive breakthroughs but restrict detrimental outcomes before capabilities outpace human control. Striking the right balance poses challenges.

    Mitigating Tradeoffs
    Governances want to minimize potential downsides like job losses from automation while maximizing upsides like efficiency gains. Cross-disciplinary collaboration is key to optimize policies.

    An Ethical Compass
    Some propose installing adaptable oversight structures guided by a “constitutional framework” - outlining foundational principles for values-based AI accountability amid rapid technological shifts.

    Vision Over Version Numbers
    Rather than static rules growing outdated as capabilities leap ahead, governance aligned to core tenets of ethics, explainability and safety could responsibly steer systems like ChatGPT across iterations.

    Global Cooperation Imperatives
    With technologies like ChatGPT spanning borders, leaders urge multilateral accords on priorities like algorithmic transparency, accountability and monitoring to uphold public welfare worldwide.

    Foresight today shapes trajectories for AI serving society tomorrow — but we must purposefully cultivate the futures we want to see, not passively expect them. Progress demands proactivity.
    https://wiki.hyperledger.org/pages/viewpage.action?pageId=109576271
    https://ecency.com/chatgpt/@gpt-nederlands/chatgpt-nederlands-chat-met-onbeperkte
    https://blog.dnevnik.hr/gptnederlands/2023/08/1632421998/leren-mogelijk-maken-met-chatgpt-een-nieuw-tijdperk-in-het-onderwijs.html
    Advancing Responsibly in the Age of ChatGPT and Similar AI As artificial intelligence systems like ChatGPT showcase increasing fluency, policy debates intensify around responsible constraints and supports to steer innovation for broad benefit, not harm. Conceptualizing effective governance remains complex yet urgent. Guiding Without Stymying Progress Lawmakers stress regulation must encourage AI development enabling positive breakthroughs but restrict detrimental outcomes before capabilities outpace human control. Striking the right balance poses challenges. Mitigating Tradeoffs Governances want to minimize potential downsides like job losses from automation while maximizing upsides like efficiency gains. Cross-disciplinary collaboration is key to optimize policies. An Ethical Compass Some propose installing adaptable oversight structures guided by a “constitutional framework” - outlining foundational principles for values-based AI accountability amid rapid technological shifts. Vision Over Version Numbers Rather than static rules growing outdated as capabilities leap ahead, governance aligned to core tenets of ethics, explainability and safety could responsibly steer systems like ChatGPT across iterations. Global Cooperation Imperatives With technologies like ChatGPT spanning borders, leaders urge multilateral accords on priorities like algorithmic transparency, accountability and monitoring to uphold public welfare worldwide. Foresight today shapes trajectories for AI serving society tomorrow — but we must purposefully cultivate the futures we want to see, not passively expect them. Progress demands proactivity. https://wiki.hyperledger.org/pages/viewpage.action?pageId=109576271 https://ecency.com/chatgpt/@gpt-nederlands/chatgpt-nederlands-chat-met-onbeperkte https://blog.dnevnik.hr/gptnederlands/2023/08/1632421998/leren-mogelijk-maken-met-chatgpt-een-nieuw-tijdperk-in-het-onderwijs.html
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  • Safety Controls and Support for New Adopters of ChatGPT AI

    As conversational AI like ChatGPT becomes widely available, leaders urge pairing openness enabling access with guidance and constraints upholding ethics. Preventative action supports safe integration amid rapid democratization.

    Widening Usage Considerations
    Figures across technology, civil society and government argue that uncontrolled spread of still imperfect models risks various harms from toxic rhetoric to job displacement. But solutions exist.

    Safety Warnings
    Providing clear advisories on issues like information credibility and mental health supports allows the public to contextualize risks when interacting with developing technology.

    Monitoring Efficacy
    Using rigorous testing methodologies measuring real-world impacts also builds understanding on where models succeed versus require additional constraints to uphold standards.

    Policy Look Aheads
    As advanced systems permeate finance, healthcare and other industries, debate continues on balancing innovation with reasonable oversight before societal influence eclipses regulatory agility.

    Proportional Governance
    Most experts argue “constitutional principles” upholding priorities like transparency and accountability can responsibly spur progress absent heavy-handed control that slows breakthroughs.

    Employment Assistance
    Rather than struggling with job displacement impacts, AI integration should synchronize with workforce transition assistance to new roles, allowing societies to extract inclusive gains.

    With care, not just code, ChatGPT’s democratization can uplift knowledge-sharing and efficiency - but only if paired with foresight and supports benefitting people and society responsible implementation demands.
    https://wiki.hyperledger.org/pages/viewpage.action?pageId=109576271
    https://ecency.com/chatgpt/@gpt-nederlands/chatgpt-nederlands-chat-met-onbeperkte
    https://blog.dnevnik.hr/gptnederlands/2023/08/1632421998/leren-mogelijk-maken-met-chatgpt-een-nieuw-tijdperk-in-het-onderwijs.html
    Safety Controls and Support for New Adopters of ChatGPT AI As conversational AI like ChatGPT becomes widely available, leaders urge pairing openness enabling access with guidance and constraints upholding ethics. Preventative action supports safe integration amid rapid democratization. Widening Usage Considerations Figures across technology, civil society and government argue that uncontrolled spread of still imperfect models risks various harms from toxic rhetoric to job displacement. But solutions exist. Safety Warnings Providing clear advisories on issues like information credibility and mental health supports allows the public to contextualize risks when interacting with developing technology. Monitoring Efficacy Using rigorous testing methodologies measuring real-world impacts also builds understanding on where models succeed versus require additional constraints to uphold standards. Policy Look Aheads As advanced systems permeate finance, healthcare and other industries, debate continues on balancing innovation with reasonable oversight before societal influence eclipses regulatory agility. Proportional Governance Most experts argue “constitutional principles” upholding priorities like transparency and accountability can responsibly spur progress absent heavy-handed control that slows breakthroughs. Employment Assistance Rather than struggling with job displacement impacts, AI integration should synchronize with workforce transition assistance to new roles, allowing societies to extract inclusive gains. With care, not just code, ChatGPT’s democratization can uplift knowledge-sharing and efficiency - but only if paired with foresight and supports benefitting people and society responsible implementation demands. https://wiki.hyperledger.org/pages/viewpage.action?pageId=109576271 https://ecency.com/chatgpt/@gpt-nederlands/chatgpt-nederlands-chat-met-onbeperkte https://blog.dnevnik.hr/gptnederlands/2023/08/1632421998/leren-mogelijk-maken-met-chatgpt-een-nieuw-tijdperk-in-het-onderwijs.html
    0 Commentaires 0 Parts 3310 Vue