Artificial intelligence (AI) significantly impacts various spheres of activity, offering both advantages and risks. This article examines key issues related to AI and trends in developing more reliable systems.
The Dual Nature of Artificial Intelligence
The rise of artificial intelligence reveals its dual nature: it can be a powerful tool for progress but also represents a significant source of risks. AI enhances productivity and improves computational capabilities but can also spread misinformation and manipulate public discourse, as evidenced by the rise of deepfakes.
The Trend of Verifiable AI
As public awareness of the downsides of black-box AI grows, the demand for verifiable AI is rising. Beyond a buzzword, it refers to the development of accountable, auditable, and transparent systems. Verifiable AI allows users and stakeholders to check the models and their decisions, ensuring their effectiveness and absence of bias.
Accountability and Risk Minimization
AI systems rely on data for training and operation, and data providers should be held accountable for the accuracy and quality of this data. Decentralized data sources and verification tools can reduce the risk of false or biased data, which is crucial for combating misinformation.
In conclusion, artificial intelligence continues to evolve, embodying both opportunities and threats. Trends in verifiable AI and the use of blockchain technologies can foster the creation of more transparent and reliable systems that enhance user trust.
