A new survey from the legal technology company Clio suggests a significant discrepancy between clients’ and lawyers’ outlooks on artificial intelligence. Particularly, the clients demonstrate more optimism about the usage of generative AI than their legal representatives, as per the summary of the findings in the ABA Journal. Interestingly, this positivity contradicts the results of another survey from Pew Research, concluding public unrest about AI is a crucial obstacle for enterprises aiming to implement AI technology.
The area of fintech is buzzing with the new protests by financial industry trade organizations against the SEC’s proposal named ‘Conflicts of Interest Associated with the Use of Predictive Data Analytics by Broker-Dealers and Investment Advisers’. This proposition, as noted by Pensions & Investments, moves to address conflicts related to the use of predictive data analytics and similar technologies and curb firms from prioritizing their interests over investors’.
Besides that, Arvind Krishna, IBM’s CEO, made a conviction-driven statement during his conversation with Politico. He defined his perspective on government’s role in AI realm, stating that AI enterprises should be held accountable for the damages originating from the usage of their technology. To support his argument, he cited historic economic examples.
Integrating AI within legal firms is gaining momentum; however, according to Tanguy Chau, Paxton.ai’s founder and CEO, it faces three main challenges that companies need to overcome. These challenges mainly revolve around building trust, aligning with a law firm’s existing organizational structure, and providing tangible benefits for the firm and its attorneys, as written in his opinion piece for Forbes.
Another insightful survey by the MIT Technology Review, comprising the views of a minimum of 1000 executives, provides a balanced perspective on generative AI’s potential hardships, opportunities, and successful deployment strategies in the corporate domain. While the transformative potential of AI garners near-universal recognition, uncertainties around the technology and its future regulations hold significant weight. Another trend noticed among executives was their inclination to collaborate with larger tech companies while navigating their AI journey. Amidst a few dissenting viewpoints, a majority of executives also foresee workforce reductions with the increasing predominance of AI.