In this episode of Trustworthy AI: De-risk business adoption of AI – I discuss real world implementation of Responsible AI Principles at one the largest telecommunications service providers in the world – Telefónica.

 Dr Richard Benjamins is the former Chief Responsible AI Officer at Telefonica and founder of its “AI for Society and Environment” area, where he played a pivotal role in shaping Telefónica's approach to the ethical use of artificial intelligence. He is among the 100 most influential people in data-driven business (DataIQ 100, 2018)

Dr. Benjamins is co-founder and CEO of the Spanish observatory for ethical and social impacts of AI (OdiseIA). 

This is a must hear conversation for those looking to create a competitive edge using AI. Integration of Trustworthy AI at the foundation of AI Initiatives is not only important, it can be the most critical element in shaping intended outcomes and the trajectory of success.

We discuss:

Challenges in big companies in adopting Responsible AI/Trustworthy AI

Vision and Leadership buy in necessary for adoption

AI Champions and more… 

Trusted AI is providing the help for Organizations at different levels of maturity in AI Risk Management and Governance achieve AI Center of Excellence and maturity, visit Trusted AI as a Service to book https://www.trustedai.ai/ai-trust-as-a-service/

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.

Trustworthy AI : De-risk adoption of AI - Facial Recognition 

I am Pamela Gupta, CEO Trusted AI and host for series  Trustworthy AI : De-risk business adoption of AI. I believe we can achieve Trustworthy AI, but in order to do that is essential to be built in at the very dna of an AI system or adoption, hence the Trusted AI logo – with a DNA strand for I in AI.

Facial Recognition is a controversial technology , can we use to for intended outcomes, use it intentionally and with guard rails? In this episode I discuss the Risks and mitigation with Daniel Eboral – one of the leaders in deployment of Ethical AI.

 The privacy and ethical risks associated with facial recognition technology (FRS) are significant and multifaceted. These concerns are not only related to the technology's accuracy and the potential for misuse but also involve deeper issues around consent, bias, and broader society.

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.

Excited to bring real work application of #responsibleai #trustedai in Manufacturing. It was a pleasure talking to a truly strategic leader Namrita Mahindro on the issues, solutions of Responsible/Trustworthy AI in Manufacturing.

In this episode of "Trustworthy AI: De-risk business adoption of AI" 

Your host Pamela Gupta talks with Namrita Mahindro Chief Digital  and information officer CDIO Aditya Birla Chemicals. 

Namrita has led award winning, end to end transformations (omni-channel customer experience, manufacturing and supply chain) for Aditya Birla Chemicals, Mahindra Auto & Club Mahindra, Taj Hotels. She has Conceptualized, designed and implemented future driven strategies interwoven with exponential technologies building a culture of customer centricity and operational excellence whilst delivering business impact through revenue growth & profit maximization in complex, distributed, scale environments.

She has a passion and Keen interest in Responsible AI to building and creating ethical, AI sustainable solutions Teaching at University of Oxford on Responsible AI, 

Follow Namrita’s podcast on AI, Talks with Namrita

We discuss:

Value of AI for manufacturing as it shifted to human centric and optimization;

Humans and cobots centers business challenges and solutions

What is Responsible Trustworthy AI in Manufacturing

Does it add value or challenges for manufacturing?

Solutions for Human Machine Interface risks

Her Risk Model for Human, Machine and compliance..

There are a lot of pragmatic and real world adoption issues and insights. If you have comments or questions please contact me at https://lnkd.in/ejuUmbJ6

Watch at: https://lnkd.in/exfQwCty

Subscribe to podcast by selecting your platform at: https://lnkd.in/efiv5wi4

#ai #aichallenges #thoughtleadership #CDO #CIO 

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.

In this episode of "Trustworthy AI: De-risk business adoption of AI"  your host Pamela Gupta is talking with a authority  on Trustworthy Generative AI and LLMS,  Krishnaram Kenthapadi.

 Chief AI Officer & Chief Scientist of Fiddler AI, Krishnaram is leading initiatives on generative AI, on AI safety, and trustworthiness, as well as the technical strategy, customer-driven innovation, and thought leadership for Fiddler. He received his Ph.D. in Computer Science from Stanford University, went on to research at Microsoft, represented LinkedIn at Microsoft's AI Ethics Advisory Board, was the Principal Scientist at Amazon, where he led the responsible AI initiatives in AWS ML, and shaped new initiatives such as Amazon SageMaker Clarify from inception to launch.
Join us for a in depth discussion on: 

1.    What is trustworthiness of LLMS

2.    Trustworthy AI Challenges for LLMs; Are they different from predictive AI?

3.    How does it impact businesses – is it different between organizations creating than those implementing?

4.    What are some ways of deplying Trustworthy LLMS? Is testing LLM pre deployments  sufficient and effective for production performance?

5.    What can companies do to prepare for Responsible AI by design;

6.    Incentives for different stakeholders.

7.    Prepare for current and upcoming future by drawing parallels with synthetic biology?

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.

In this episode of Trustworthy AI : help De-Risk adoption of AI,
Trusted AI CEO Pamela Gupta talks with Piercosma Bisconti who is the Project Leader of the EU standard “AI Trustworthiness Framework”.
Piercosma is leading this inside the CEN-CENELEC, the EU standardization committee.  
We discuss the the 𝐀𝐈 𝐓𝐫𝐮𝐬𝐭𝐰𝐨𝐫𝐭𝐡𝐢𝐧𝐞𝐬𝐬 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 project,  a step forward for building the overarching framework of the EU's AI standardization ecosystem.
I asked "This standard will help create a NorthStar for preparation for compliance with the EU AI Act, so all eyes on you Piercosma", he smiled as he responded "No Pressure".
To relieve that pressure on creators and impacted I am happy to announce to keep you posted on next steps, developments and our new "Trusted AI as a Service" product launch! See more details on https://www.trustedai.ai/ai-trust-as-a-service/

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.

In this episode of "Trustworthy AI: De-risk business adoption of AI" Creating a safer digital space, 

Your host Pamela Gupta is talking to Yonah Welker. Yonah Welker is an AI expert, technology explorer and public voice for algorithmic diversity working on European Commission-funded research, technology, and innovation projects.  He is a Serial Technologist, Public Evaluator, Commission's Board, Voice For Algorithms, Spectrums, Policies, Acts  @EU_Commission @MIT @WEF  @EU-MENA-US 

We discuss the impact of EU AI Act on a variety of successful technology projects addressing accessibility of public spaces, cognitive and sensory impairments, medical and educational technologies, such as social robotics for children with autism, eyes-tracking systems supporting
reading impairments and dyslexia, smart tablets for individuals with
visual impairments, variety of rehabilitation and medical technologies. 

The final provision of the AI Act expands the categories of high and unacceptable risk systems, introduces stricter compliance on emotion recognition, publicly accessible workplaces and educational spaces, dedicated rules addressing general-purpose AI, “specific transparency risks”, and the list of special cases, exceptions and comments, including biometrics systems and law-enforcement.

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.

In this episode of Trustworthy AI: De-Risk adoption of AI on  Responsible AI uses in Legal profession,

 I talk with Dr Megan Ma, MIT Law Responsible Task Force member that was formed to address growing concerns around the responsible and ethical use of AI in the legal profession following the infamous incident of a New York attorney submitting a fake, ChatGPT-generated brief in federal court and subsequently being fined $5,000.

Dr Ma is a Fellow and the Assistant Director of the Stanford Program in Law, Science, and Technology and the Stanford Center for Legal Informatics (CodeX). Her research focuses on the translation of legal knowledge to code, considering its implications in contexts of human-machine interaction. She also teaches courses in computational law and insurance tech at the Law School.

She has taught courses in Artificial Intelligence and Legal Reasoning, Legal Semantics, and Public Health Law and Policy. She has previously been a Visiting PhD at the University of Cambridge and Harvard Law School respectively.

 We discuss using Responsible/Trustworthy AI principles and parallels between business and legal realms when it comes to promote better business outcomes, including accelerated innovation with AI’.? 

Megan and I go in depth on the challenges she is seeing and solving in her role and main focus.

MIT Task force Responsible AI recommendations and adoption by the California American Bar Association’s of the taskforce recommendations on Responsible AI. The Task Force’s 7 principles for lawyer’s duties when using AI for legal work namely

Duty of Confidentiality 

Duty of Fiduciary Care 

Duty of Client Notice and Consent

Duty of Competence in the usage and understanding of AI applications.

Duty of Fiduciary Loyalty 

Duty of Regulatory Compliance and respect for the rights of third parties, applicable to the usage of AI applications in your jurisdiction(s);

Duty of Accountability and Supervision to maintain human oversight over all usage and outputs of AI applications.

 Optimizing technology to alleviate legal problems

Future of legal education and more...

Using Generative AI responsibly..
Youtube link: https://youtu.be/aIS1o00ZwjQ

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.

In this episode of  "Trustworthy AI: De-risk  adoption of AI"  I talk with Steven Tiell.

He is a nonresident senior fellow with the Atlantic Council’s Geotech Center. 

·       Steven Tiell founded and led Accenture’s global data ethics and responsible innovation practice.  He is a strategy executive with wide technology expertise and particular depth in data ethics and AI Governance.

·       He provided guidance to the Monetary Authority of Singapore on their Fairness Ethics accountability & Transparency policy.
We discuss:

 ‘How Trustworthy AI can be  instrumental in helping obtain positive outcomes, including accelerated innovation with AI’

1.    What is Trustworthy AI

2.    What is the place of Regulations in AI Governance.

3.    What is effective AI Governance.

4.    When we talk about AI Accountability, is it to the government? To Society? 

 Join us.

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.

Pamela Gupta CEO Trusted AI speaks with Anna Metsäranta on the impact of EU AI on Business .
Anna Metsäranta heads Solita's work on sustainable use of AI. Solita is a European data, strategy, and AI company. She is a member of the Nordic Ethical AI Expert Group and was shortlisted for the DAIR awards for AI Ethics Professional of The Year 2023.

We are aligned on our common vision to help organizations increase awareness of the risks and harms of AI, as well as helping organizations to adopt measures to take better control of their AI. This helps to ensure value creation as well as risks and impacts management.

Anna and I discuss :

Who does EU AI Act impact.

How does it impact business risk and innovation.

What is the next step - where do we go from here?

 I loved hearing Anna’s concept of algorithmic debt... “Similar to technical debt, there is a cost related to building and deploying AI systems without embedding the necessary transparency, accountability, and risk management measures. This is what I call algorithmic debt. Going full speed with implementation, omitting best practice methods for responsible use of AI, will be costly.”

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.

In episode #16 of Trustworthy AI: De-Risk adoption of AI, Pamela Gupta talks to noted Privacy expert Debbie Reynolds on FTC’s AI Regulatory powers and impact on Organizations.
 On November 21, 2023, the Federal Trade Commission (FTC) approved a resolution to facilitate the issuance of Civil Investigative Demands (CIDs) in AI-related investigations. This 10-year resolution allows streamlined issuance of these subpoenas, while the FTC retains ultimate control over their use. This action aligns with the FTC's broader strategy under Chair Lina Khan to enhance its regulatory authority in the AI sector.

The FTC's move reflects a growing focus on the potential risks AI poses to consumers, acknowledging both its benefits and possible misuses, such as deception or discrimination further committing to protect individual rights against violations through advanced technologies.

The Biden administration, in the hashtag#executive order on “safe, secure, and trustworthy development and use of artificial intelligence", encouraged the FTC to expand its regulatory activities in AI. The FTC's new resolution positions it to more vigorously investigate AI companies for illegal or unfair practices, underlining its ambition to become a leading AI regulator. The FTC has already initiated such actions, as evidenced by its investigation of OpenAI, the developer of ChatGPT. 

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.