Linda
Dotts
Chief Partner Strategy Officer at SS&C Blue Prism
"Leadership in the Era of AI: A Roadmap for Responsible Innovation and Governance"
"Leadership in the Era of AI: A Roadmap for Responsible Innovation and Governance"
Fri May 23 - 9:50 AM EDT/New York (See in local time)
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04/23/2024 9:50 AM
04/23/2024 10:10 AM
America/New_York
#WTGC2024
"Leadership in the Era of AI: A Roadmap for Responsible Innovation and Governance"
#WTGC2024
"Leadership in the Era of AI: A Roadmap for Responsible Innovation and Governance"
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https://www.womentech.net/vfairs
"Leadership in the Era of AI: A Roadmap for Responsible Innovation and Governance"
"Leadership in the Era of AI: A Roadmap for Responsible Innovation and Governance"
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Session: Leadership in the Era of AI: A Roadmap for Responsible Innovation and Governance
Embracing responsible innovation in the field of artificial intelligence (AI) is the best way forward in a world that is becoming increasingly reliant on technology. Businesses should be allowed to reap the benefits of AI, such as accelerated growth, enhanced customer experience and a more satisfied workforce.As companies digest the impact of President Biden’s Executive Order on AI and broader efforts by governments worldwide to establish a legal and regulatory foundation for the responsible advancement of AI - the time to begin building a framework for governing AI in your company is now.
Ultimately, when it comes to governance, everyone has responsibility – from the CEO and chief information officer to the employees. This presentation will offer a roadmap for effective AI governance.
Top-down: Effective governance requires executive sponsorship to improve data quality, security and management. Business leaders should be accountable for AI governance and assigning responsibility, and an audit committee should oversee data control. You may also want to appoint someone with expertise in technology who can ensure governance and data quality as a chief data officer to lead these efforts.
Bottom-up: Individual teams can take responsibility for the data security, modeling and tasks they manage to ensure standardization, which in turn enables scalability.
Modeling: An effective governance model should utilize continuous monitoring and updating to ensure the performance meets the organization’s overall goals. Access to this should be given with security as an utmost priority.
Transparency: Tracking your AI’s performance is equally important, as it ensures transparency to stakeholders and customers, and is an essential part of risk management. This can (and should) involve people from across the business.
Continuously monitor the performance metrics of deployed AI models and update them to adapt to changing needs and safety regulations. It is important to incorporate human oversight to validate AI quality and performance outputs.
Incorporate ways to identify and address bias in AI models to ensure fair and equitable outcomes across different demographic groups. AI governance is an ongoing process that requires commitment from leadership, alignment with organizational values, and a willingness to adapt to changes in technology and society.
AI is one of the most powerful technologies of our time and to foster trust in it, we must ensure that the technology is handled responsibly. The power of innovation to transform businesses is something to be celebrated.
Key Takeaways
- Embrace responsible innovation: The benefits of AI, such as accelerated growth and improved workforce satisfaction, make it an essential aspect for businesses across various industries.
- Governance is a shared responsibility: Learn best practices for developing your AI models. Good governance is not solely the responsibility of leadership; it involves everyone from CEOs to individual employees.
- Continuous monitoring and adaptation: Learn how to ensure that your AI governance model aligns with organizational goals, with security as a top priority. Transparency in tracking AI performance is vital.
- Humans in the loop: Key decisions and new procedures should involve human oversight. This human-in-the-loop approach is crucial for fostering trust in AI.
Bio
Linda Dotts is the Chief Partner Strategy Officer for SS&C Blue Prism, a global leader in intelligent automation. Linda joined Blue Prism (now SS&C Blue Prism) in 2017 to drive Americas alliances and channel strategy for the company. In 2018, her role expanded in parallel with Blue Prism’s business growth, to drive Global Partner Strategy and Programs, and support product functions at many levels.Under Linda’s leadership the Technology Alliance Program (TAP) ecosystem has thrived, bolstered by the launch of the Blue Prism Digital Exchange (DX) that has more than 100 partners contributing, and over 25,000 people participating to leverage 500+ assets and growing. Linda was also recognized as one of CRN's 2020 Women of the Channel.
Previously, Linda was Senior Leader of Channels at FICO following a long career in Customer Relationship Management and Unified Communications at AT&T, Lucent and Avaya. She held key leadership roles in Product Management, Marketing and Sales including President of Avaya Japan, a highly channel centric division of the company. Linda has a BS Economics from Arizona State University and an MBA from the University of Hartford.
