Critical thinking and high-level social cognizance will take AI forward
Manisha expounded on how learning can shape AI to simplify life for everyone, by enabling resilience and readiness to adapt new ways of working and living.
“In a market where automation and robotics is gaining edge, the important areas for developing future-ready skills will be critical thinking, empathy, ethics & governance, communication, and collaboration, in addition to digital fluency, algorithmic thinking, programming and advanced analytics,” she said.
The need to transition from a fixed mindset to a growth mindset
Sharing thoughts on the pertinence of understanding what customers want, the learn-it-all mindset and organizational culture in designing AI-driven outcomes, Charumathy highlighted how the shift from a fixed mindset to a growth mindset can nudge the next-level evolution of AI, businesses and all stakeholders involved.
Importance of ‘culture shift’ to revamp AI-led operations
Manisha underscored that unlearning conventional practices of hierarchy-based work culture have become pertinent to AI, especially in the aftermath of the pandemic that nudged employees to step out and operate beyond their specific silos.
She endorsed a culture of experimentation to foster enthusiasm, innovation and growth as well as instilling a ‘culture of ethics’ in tandem with adoption of the Agile methodologies, process standardization, compliance with frameworks, and responsible use of data to bolster explainable AI adoption.
Mindfulness in regulating use of technology and infrastructure
Speaking on sustaining the current meaningful carbon footprint of AI, Deepika remarked how imperative it is to put responsibility over possibility and consciously regulate the use of technology and infrastructure that one has access to. “The focus should be on arriving at relevant solutions, and not on how it is done,” she said.
The prospect for more women in AI
Vaswati recounted how Accenture as an organization is driving the change by aiming to achieve a gender-balanced workforce by 2025, and how the Accenture Vaahini initiative is driving more inclusion in the workplace.
Thanks to ample opportunities to upskill, re-learn and stay abreast of latest developments on the tech and compliance front, women working in Accenture’s AI domain are future-ready.
The panelists agreed upon how virtual courses and certifications offered by legitimate online learning platforms are changing the landscape by enabling more women aspirants to qualify for careers in data science and AI.
Deepika verbalized that women professionals should build critical leadership skills such as financial acumen and negotiation, and leverage broader forums such as the Lean In for overall, holistic growth.
At the end of a forthcoming and insightful discussion, the panelists agreed that AI and the hands building it should move forward with a conscious approach rooted in empathy and sustainability.