Top 5 Resolutions for Advancing Artificial Intelligence in 2021
As we close the book on 2020, the possibilities for the future of artificial intelligence (AI) are almost endless. With AI being integrated into more and more aspects of our lives, it has become apparent that we need to advance its development further. In this article, we highlight the top 5 resolutions for advancing Artificial Intelligence in 2021 that show the way forward.
1. Expand Data Accessibility
One of the most critical areas that need to be addressed is data availability. AI requires large amounts of accessible and reliable data to learn and make intelligent decisions. Thus, data democratization must be a top priority to help advance AI. Data sources need to be more accessible and standardized across sectors to accelerate AI development.
2. Enhance Ecosystem Collaboration
Collaboration between industry, academia, and government is essential for advancing AI. Academia plays a crucial role in researching new approaches and algorithms, while industry is best placed to develop targeted applications and solutions. Governments have a critical role to play in setting regulations and policies that guide AI development. Partnerships between these groups can help create a more comprehensive AI ecosystem by fostering knowledge-sharing and collaboration.
3. Boost Computing Power and Cloud Infrastructure
AI requires massive computing power to run. The availability of more cloud computing and edge computing platforms will be essential to advance AI development. Cloud-based AI solutions make AI more accessible and affordable for smaller businesses. By increasing the capacity of cloud infrastructures, AI developers would have the necessary resources to build more complex models and train them faster.
4. Create Ethical Guardrails for AI
As AI advances, regulators, policymakers, and developers must ensure that its ethical implications are considered. This calls for new ethical frameworks that define the responsibilities and obligations of AI developers and users. Developers need to be more transparent about how AI is created, how it arrives at decisions, and the data sources used to train it. Users must be aware of the potential of AI to promote social bias and address problems promptly.
5. Improve Explainability and Transparency in AI
Explainability and transparency must be at the core of AI development. As AI continues to be integrated into critical systems, it is essential to understand how it arrived at decisions. These two elements are critical to developing trust in AI systems. AI developers need to create models that can be easily understood by the users, even without technical backgrounds. This approach will help reduce fears about AI and increase its usability.
Conclusion
In conclusion, these 5 resolutions must be put in place to advance AI. By expanding data accessibility, enhancing collaboration, boosting computing power, creating ethical guardrails, and improving explainability and transparency, we can unleash the potential of AI in 2021. AI is among the most significant technological achievements of our era, and with these resolutions, it will go even further. By addressing these challenges, we can build an AI ecosystem that benefits all.
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