Chatbots have proved to be an effective tool for businesses, enabling robust customer interactions and streamlining operations. However, the rise of AI-based models like ChatGPT by OpenAI is inviting concerns over potential security risks. IBM‘s Vice President, Jerry Cuomo, recently explored crucial issues associated with deploying ChatGPT for business affairs.
Accoring to Cuomo, the central issue lies in data control. He warns businesses, “Once your data enters ChatGPT, you have no control or knowledge of how it is being used.” In essence, the lack of visibility into the use of input data heightens the risk of unintentional data leakage. Such exposures could potentially place businesses in legal jeopardy if sensitive data pertaining to partners, clients or customers reaches the public domain.
Further, it poses risks to intellectual property and could potentially lead to breaches of open-source agreements. Effective data management and usage policies are found wanting in the current ChatGPT model, prompting skepticism over its enterprise use.
Conversely, OpenAI defended their technology by confirming that data input would not be shared with others even for relevant queries. They also highlighted certain features of ChatGPT, including the ability for users to turn off their chat history, assuring that data sharing is disabled by default.
Critics, however, underscore that chat conversations on the web version are saved by default. The onus is on users to opt out of this feature and deny permission for their data to be utilized for model training – a complex, if not intimidating process for non-technical users. Currently, there is no way to save conversations without consenting to share data.
While debates around the potential risks and benefits of ChatGPT continue, it is crucial that the full implications of data sharing and privacy are properly deliberated. This will undoubtedly shape future versions of ChatGPT and similar models, determining their success and utility in enterprise environments.
In the realm of decentralised autonomous organisations (DAOs), cross-chain governance is becoming a burning issue. For instance, when UniswapDAO considered deployment on the Binance Smart Chain (BSC), the question of governance over multiple chains became a hotly discussed topic.
Despite the contentious outcome, one key point emerged: the potential benefit of multiple bridges for added security. Again, the debate underscored that rigorous deliberation and careful consideration of all potential risks is vital when integrating newer models and technologies. As technology evolves, so too does the need for robust, comprehensive, and carefully considered safety protocols.
At the end of the day, it is important to strike a balance between availing of new tools and technologies and ensuring the security and privacy of data—both of which are essential to maintaining public confidence and the overall progress of industries.