Furthermore, in today’s world where consensus is becoming harder to achieve, there needs to be a focus on interoperability.
It has also created learning gaps, with activities happening in silos and few mechanisms in place to drive global collaboration and rapid scaling of proven tools and practices. While the explosive growth in AI ethics guidelines is welcome, it has created an implementation gap – it is easier to define the ethical standards a system should meet than to design and deploy a system to meet them. Recognizing this, actors across industry, government and civil society have rolled out an expanding array of ethical principles to guide the development and use of AI – over 175 to date. Only AI systems that are trusted, transparent and inclusive will achieve long-term benefits for these institutions and society at large. Trusted, transparent and inclusive use of AI is not only the right thing to do, but it is also a critical success factor for institutions – business, governments or otherwise – using AI, whether they are designing it, deploying it, or embedding it into their products.
AI ACTIONS STARBOUND FULL
Recent controversies on facial recognition, automated decision-making and COVID-related tracking have shown that realizing AI’s full potential requires strong buy-in from citizens and governments, based on their trust that AI is being built and used ethically.
Harnessing the transformative potential of artificial intelligence by accelerating the adoption of trusted, transparent and inclusive AI systems globally.Īs the transformative potential of artificial intelligence (AI) has become clearer, so too have the risks posed by unsafe or unethical AI systems.
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